Skills de Claude Code · página 70

Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs.

Write publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification workflows.

Battle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics, genomics. Covers training loops, optimizer selection (AdamW, Muon), LR scheduling, mixed precision, debugging, and systematic experimentation. Use when training or fine-tuning neural networks, debugging loss spikes or OOM, choosing architectures, or optimizing GPU throughput.

Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.

Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s of nodes. Use for batch inference, data preprocessing, multi-modal data loading, or distributed ETL pipelines.

Multi-cloud orchestration for ML workloads with automatic cost optimization. Use when you need to run training or batch jobs across multiple clouds, leverage spot instances with auto-recovery, or optimize GPU costs across providers.

Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization

Conduct a structured ethical review of an AI or ML feature, model, or product. Use when preparing to deploy an AI system, assessing algorithmic risk, auditing a model for bias, or producing a responsible AI impact assessment. Produces a structured ethics review covering fairness, transparency, privacy, safety, accountability, and societal impact with a risk tier score, pre-deployment checklist, and prioritised mitigations.

Structure AI and ML product decisions with the rigour of any product decision. Use when building AI-powered features, evaluating LLM integrations, designing AI products, or assessing AI readiness. Produces a complete AI product canvas covering problem definition, model approach, data requirements, evaluation framework, UX design, responsible AI checklist, and launch monitoring plan.

Transform feature briefs into structured design briefs that give designers the context they need before opening Figma. Use when asked to write a design brief, create a design handoff, brief a designer on a new feature, or translate a PRD into design requirements. Produces a brief with user goal, emotional context, success criteria, constraints, edge cases, and out-of-scope boundaries.

Design statistically rigorous A/B tests and interpret experiment results. Use when asked to design an experiment, run an A/B test, calculate sample size, interpret test results, or assess whether an experiment was successful. Produces a complete experiment design with hypothesis, sample size, run time, success criteria, and risk flags — or a results interpretation with ship/iterate/kill recommendation.

Synthesises user signals from multiple research sources into a unified, weighted insight brief. Use when you have data from interviews, support tickets, NPS verbatims, app reviews, or sales calls and need to reconcile contradictions, surface the underlying need behind requests, or answer 'what are users really telling us'. Produces ranked insights with confidence ratings, source weighting rationale, divergent signal analysis by user segment, and a research gap identification section.

Structure a product data analysis, metric deep-dive, funnel analysis, or cohort study. Use when asked to analyse product metrics, investigate a drop in conversion, explain a data change to stakeholders, or find the root cause of a metric movement. Produces a structured analysis with question, root cause, confidence level, and recommended action.

Interpret product metrics against goals and surface actionable signals. Use when asked to analyse product health, review key metrics, investigate a performance issue, produce a health report, or assess product-market fit signals. Produces a structured health report with RAG status, trend analysis, root cause hypotheses, and prioritised actions.

Structure a retention analysis, churn investigation, or engagement deep-dive for any product team. Use when asked to analyse user retention, investigate churn, measure DAU/MAU, or build a retention improvement plan. Produces a retention snapshot with root cause hypotheses, aha-moment correlation, and prioritised interventions.

Build the storyline and slide structure for a board presentation. Use when asked to create a board deck, board presentation narrative, board meeting slides, or quarterly board update. Produces a complete slide-by-slide structure with narrative beats, talking points, and slide content guidance.

Write a structured monthly or quarterly investor update. Use when asked to write an investor update, investor newsletter, board update, or startup progress report for investors. Produces a clear, credible update with highlights, metrics, challenges, and asks — in the format investors actually want to read.

Tailors a CV and cover letter to a specific job description. Use when asked to write a cover letter, tailor a CV or resume, optimise for ATS, match a job description, or prepare a job application. Produces an ATS-optimised tailored CV summary and a personalised cover letter aligned to the role's requirements.

Write an executive summary for any document, report, or proposal. Use when asked to write an executive summary, management summary, briefing paper, or one-pager for senior stakeholders. Produces a structured summary that busy executives can read in under 3 minutes and act on.

Write a structured grant proposal or funding application for any grant type. Use when asked to write a grant proposal, funding application, research grant, charitable grant, or innovation fund application. Produces a complete proposal with project summary, rationale, methodology, impact, and budget narrative.

Searches Reddit, X/Twitter, and the broader web for recent opinions, sentiment, and signal on any topic. Use when you need to know what real people are saying about a tool, product, trend, or event in the past 30 days — cutting through SEO content to surface genuine community reaction. Produces a structured report with consensus findings, pain points, positive signals, contrarian takes, source links, and a signal confidence rating.

Automates NotebookLM from Claude Code using browser automation via the Claude Chrome extension — creating notebooks, adding sources, and triggering outputs without manual clicking. Use when you want to create a NotebookLM notebook, add URLs or documents as sources, or generate mindmaps, audio overviews, or briefing docs programmatically. Produces a confirmed checklist of completed actions and a direct link to the notebook.

Write a professional press release for any announcement. Use when asked to write a press release, media announcement, news release, or press statement. Produces a structured press release with headline, dateline, body, boilerplate, and media contact — ready to send to journalists.

Flip Claude’s default from validation to adversarial critique. Use when you are about to make a high-stakes decision, commit to a plan, or pitch something you have not stress-tested. Produces structured challenges, steelmanned counter-arguments, and the strongest case against your position — a genuine thinking partner, not a mirror.

Design a structured lesson plan for any subject, audience, or format. Use when asked to write a lesson plan, course outline, teaching session, workshop curriculum, or training module. Produces a complete lesson plan with learning objectives, activities, timing, assessment, and differentiation guidance.

Produce a structured churn analysis that separates avoidable from unavoidable churn. Use when investigating why customers are leaving, identifying at-risk segments, calculating net revenue retention, or building a retention intervention plan. Produces a churn report with rate calculations, categorised reasons by avoidability, segment breakdown, timing analysis, early warning signals, and prioritised interventions ranked by estimated impact.

Write a structured escalation brief for an at-risk customer account. Use when an account has escalated, when a customer is threatening churn, when a P1 customer issue needs executive attention, or when preparing an internal save play. Produces a crisp escalation brief with account context, timeline, root cause, business impact, and a clear resolution plan.

Build a customer health scorecard for a specific account. Use when asked to score account health, assess renewal risk, build a health dashboard, or evaluate an account's likelihood to renew or expand. Produces a structured health scorecard with a RAG status, dimension scores, key risks, and recommended actions.

Build a joint customer success plan for a specific account. Use when asked to create a success plan, joint success plan, mutual action plan, or customer onboarding plan. Produces a structured success plan with business goals, milestones, success metrics, ownership, and a 90-180 day roadmap.

Build a Quarterly Business Review (QBR) deck structure and narrative for a customer account. Use when asked to prepare a QBR, business review meeting, executive review, or quarterly check-in with a customer. Produces a slide-by-slide QBR structure with talking points, metrics review, value narrative, and mutual next steps.

Build a structured renewal playbook for a customer account. Use when asked to plan a renewal, structure a renewal negotiation, prepare for an expansion conversation, or build a renewal strategy for at-risk or healthy accounts. Produces a renewal brief with health assessment, negotiation strategy, objection responses, expansion levers, and a timeline.

Extract pixel-level data from an image of a chart or graph and produce a structured data table. Use when asked to extract data from a chart image, transcribe numbers from a graph, digitise a chart, or turn a screenshot of data into a table. Produces a structured table with extracted values, confidence levels, and a reconstructed chart source. Best used with Claude Opus 4.7 or newer for reliable chart data extraction.

Structure a cohort analysis for retention, LTV, or behavioural patterns. Use when asked to run a cohort analysis, analyse retention by cohort, segment users by behaviour over time, or calculate lifetime value by acquisition period. Produces a complete cohort analysis framework with methodology, cohort definitions, retention curves, and prioritised interventions.

Convert a business question into a complete dashboard specification. Use when asked to design a dashboard, create a dashboard spec or brief, plan a BI report, or define what charts and metrics a dashboard should include. Produces a structured spec with metrics, dimensions, chart types, filters, and layout guidance.

Design an ETL/ELT data pipeline specification. Use when asked to design a data pipeline, spec an ETL or ELT process, document a data ingestion workflow, or plan a data integration. Produces a complete pipeline spec with sources, transforms, destinations, SLAs, error handling, and data quality rules.

Build a metrics framework for any product, team, or business. Use when asked for a metrics tree, KPI framework, North Star metric, AARRR funnel, HEART framework, or OKR metrics. Produces a structured metrics hierarchy from North Star down to leading indicators, with measurement guidance.

Explains, optimises, writes, and documents SQL queries. Use when asked to explain a SQL query, optimise slow SQL, translate SQL to plain English for non-technical stakeholders, write a query from a natural language description, or produce query documentation. Produces plain-English explanations, annotated optimised queries, or a data dictionary covering output shape, assumptions, and known limitations. Works across PostgreSQL, MySQL, BigQuery, Snowflake, and standard SQL.

Design statistically rigorous A/B tests for product features, UI changes, onboarding flows, and pricing experiments. Use when asked to set up an experiment, design an A/B test, calculate sample size, or interpret test results. Produces a complete test plan with hypothesis, variant definitions, sample size, duration estimate, guardrail metrics, and a results interpretation guide.

Build a go-to-market plan for any product launch, feature release, or new market entry. Use when planning a product launch, writing a GTM strategy, defining launch tiers, or coordinating cross-functional launch activities. Produces a tiered GTM plan with messaging, cross-functional activity tracker, success metrics, and launch day checklist.

Audit a PowerPoint presentation for layout issues, text overflow, visual hierarchy problems, and consistency gaps. Use when asked to review a slide deck, check a presentation before a meeting, audit slides for layout problems, or QA a deck before sharing. Produces a slide-by-slide report with issues ranked by severity and specific fixes. Best used with Claude Opus 4.7 or newer for reliable slide-level vision analysis.

Generate a comprehensive pre-launch, launch day, and post-launch checklist for any product release. Use when preparing for a product launch, feature release, or major update. Produces a role-assigned, tiered checklist covering engineering readiness, marketing and comms, support, and post-launch monitoring.

Analyses sprint delivery data and produces a structured retrospective brief. Use when asked to run a retrospective, analyse sprint data, prepare a retro brief, or turn sprint metrics into discussion prompts. Produces a data-grounded retrospective brief with completion stats, pattern analysis, Start/Stop/Continue prompts, and one concrete experiment for next sprint.

Generate a structured sprint brief from sprint data and goals. Use when asked to write a sprint brief, create a sprint summary, document sprint goals and scope, or produce a team-facing sprint overview. Produces a scannable brief with sprint goal, rationale, grouped work, critical path, risks, and definition of done.

Structure and facilitate sprint planning sessions. Use when asked to plan a sprint, organise backlog items, assign story points, create sprint goals, or prepare sprint planning agendas. Produces a sprint goal, velocity-calibrated backlog, capacity plan, risk flags, and a structured sprint planning meeting agenda.

Create structured technical specification documents that bridge product requirements and engineering implementation. Use when writing a tech spec, engineering spec, system design doc, or API specification. Produces a complete spec with problem statement, proposed solution, data model, API design, alternatives considered, security considerations, testing plan, and rollout strategy.

Write well-structured user stories with acceptance criteria and edge cases. Use when asked to write user stories, create tickets from a feature brief, convert a PRD into stories, or write acceptance criteria. Produces ready-to-estimate stories in the standard format with clear acceptance criteria, edge cases, and definition of done.

Generate a WCAG 2.2 accessibility audit checklist and remediation suggestions for any UI or design. Use when asked to audit for accessibility, check WCAG compliance, review a design for a11y issues, or create an accessibility remediation plan. Produces a prioritised checklist with pass/fail assessments and specific fixes.

Gives structured, constructive feedback on any design using UX frameworks. Use when asked to critique a design, review a UI, give feedback on a Figma file or wireframe, assess a user flow, or evaluate a design against UX principles. Applies Jobs-to-be-Done, Gestalt principles, and usability heuristics to give actionable feedback with prioritised issues and specific recommendations.

Audit a design system for consistency, coverage, and quality. Use when asked to audit a design system, review a component library, assess design token coverage, or evaluate the health of a shared design system. Produces a structured audit with a health score, component coverage gaps, token inconsistencies, accessibility issues, and a prioritised remediation roadmap.

Create a structured UX research plan for any product question or feature. Use when asked to write a research plan, design a user study, create a discussion guide, write screener questions, or plan usability testing. Produces a full research plan with objectives, methodology, screener, discussion guide, and synthesis framework.

Extract and risk-rate hidden assumptions in a product brief or PRD. Use when asked to review a product brief for assumptions, audit a PRD for risks, find hidden assumptions, validate product plans, or run an assumption analysis. Produces a prioritised assumption map with confidence and impact scores, recommended validation methods, and critical assumption flags.

Build a customer journey map for a product, service, or experience. Use when asked to map a customer journey, create a user journey, document touchpoints and pain points, or design an experience map. Produces a complete journey map with stages, touchpoints, emotions, pain points, and prioritised opportunities.

Create a structured user discovery interview guide with screener questions, a discussion guide, and a synthesis framework. Use when planning user interviews, customer discovery sessions, Jobs-to-be-Done research, or problem validation. Produces a complete guide covering warm-up, problem exploration, and a per-session synthesis template.

Write Jobs-to-be-Done (JTBD) job stories and map customer jobs across functional, social, and emotional dimensions. Use when defining user needs, writing job stories, conducting JTBD research, or reframing features around customer outcomes. Produces a job story map with opportunity scoring, pain intensity ratings, and product opportunity analysis.

Synthesises user interview transcripts into structured research findings. Use when asked to analyse interview notes, synthesise qualitative research, identify themes from interviews, or turn raw interview data into actionable product insights. Produces a themed synthesis with supporting quotes per theme, 'so what' implications, and recommended next steps.

Write clear, developer-facing API documentation. Use when asked to document an API endpoint, write API reference docs, create a developer guide, or turn a raw spec/Postman collection into documentation. Produces endpoint documentation with descriptions, parameters, request/response examples, and error codes.

Write an API versioning strategy document for a service or API platform. Use when asked to define versioning policy, plan API deprecation, classify breaking changes, or document version lifecycle. Produces a complete versioning strategy with breaking-change classification table, deprecation timeline, migration guide template, and client communication template.

Create an Architecture Decision Record (ADR) for any technical decision. Use when asked to document a technical decision, write an ADR, record an architecture choice, or capture why a technology or approach was selected. Produces a structured ADR with context, decision, consequences, and tradeoffs.

Produce a capacity planning document for a service covering traffic forecasts, resource requirements, and scaling strategy. Use when asked to plan infrastructure capacity, forecast resource needs, model traffic growth, define scaling strategy, or produce a capacity review for a service. Produces a structured capacity plan covering current baseline metrics, growth projections, resource requirements per tier, scaling strategy, cost projections, capacity triggers, and an infrastructure action roadmap.

Convert a git log, commit list, or release notes into a polished, user-facing changelog. Use when writing release notes, generating a CHANGELOG.md entry, or documenting what changed in a version. Produces a structured changelog section with version header, categorised changes, and migration notes.

Write a CI/CD pipeline playbook for a service or team. Use when asked to document a CI/CD pipeline, write a deployment process, define release gates, document build and test stages, or create a deployment guide. Produces a structured playbook covering pipeline stages, environment definitions, deployment gates, rollback procedures, and on-call responsibilities.

Activate a 4-stage coding discipline framework that forces Claude to plan before coding, isolate changes on a branch, write tests first, and self-review output twice before presenting it. Use when starting a complex coding task, when past Claude sessions produced broken first drafts, or when you want to prevent rework cycles. Produces a confirmed written plan, isolated feature branch, test-first implementation, and a double-reviewed output with a correctness and code-quality checklist.

Generate a tailored code review checklist for any pull request based on the language, type of change, and risk level. Use when asked to review code, check a PR, review a pull request, or generate a code review checklist. Produces a focused checklist with language-specific checks, risk-level-appropriate depth, and a clear approve/request-changes recommendation.

Activate output filtering, session logging, and auto-resume to keep Claude Code sessions productive across resets. Use when starting a long or complex coding session, when previous sessions lost context mid-task, or when you need Claude to resume exactly where it left off after a reset. Installs a session.log at project root, filters verbose command output to preserve context, and automatically resumes in-progress tasks after any Claude reset.

Write a safe, zero-downtime database migration plan for a schema change. Use when asked to plan a database migration, design a zero-downtime schema change, document an expand/contract migration, produce a rollback procedure for a database change, or coordinate a database schema update with a deployment. Produces a structured migration plan covering migration objectives, backward compatibility analysis, expand/contract phase breakdown, exact SQL, rollback steps per phase, data validation queries, and a deployment runbook.

Document or design a database schema with entity relationships, table definitions, constraints, indexes, and access patterns. Use when asked to design a database, document an existing schema, model entities and relationships, define table structures, plan an index strategy, or produce a data model for review. Produces a structured schema document covering an ER diagram, table DDL definitions, index strategy, access pattern analysis, normalization decisions, and migration notes.

Parse error logs, stack traces, and crash reports into a structured root cause diagnosis. Use when an application is throwing exceptions, crashing, or producing unexpected errors and you need to understand why and what to fix. Produces a structured diagnosis with error classification, stack trace walkthrough, probable root cause with confidence level, affected code path, a concrete code-level fix suggestion, and ordered next debugging steps.

Audits project dependencies for security vulnerabilities, license compliance issues, outdated packages, and transitive dependency risk. Use when asked to audit dependencies, review package security, check license compliance, assess dependency health, or produce a vulnerability report. Produces a vulnerability findings table, license compliance matrix, update priority matrix, dependency health score, and 30-day remediation plan.

Write a developer onboarding document for a service, codebase, or team. Use when asked to write a developer guide, service README, onboarding doc for a new engineer, codebase orientation, or getting-started guide for a technical team. Produces a structured doc covering service overview, architecture, local setup, key patterns, testing, deployment, and who to ask for what.

Write a disaster recovery plan for a service or system — covering RPO/RTO targets, failure scenario runbooks, backup and restore procedures, DR testing cadence, and communication templates. Use when asked to write a DR plan, document failover procedures, create recovery runbooks, define RTO/RPO targets, or prepare for a disaster recovery game day. Produces a full DR document with per-scenario recovery runbooks, backup validation procedures, testing schedule, and communication templates.

Build an engineering hiring rubric and technical interview scorecard for evaluating software engineers at a specific level. Use when asked to create an interview rubric, design a hiring process, build a technical scorecard, or standardize engineer evaluation. Produces a full interview scorecard, behavioral question bank, technical question set with evaluation criteria, system design rubric, and debrief agenda.

Write a weekly engineering status report for a team, service, or initiative. Use when asked to write a team update, weekly engineering report, sprint status email, or standing team communication to stakeholders. Produces a concise, scannable weekly report covering shipping progress, metrics, decisions, blockers, and next-week priorities.

Write a feature flag management guide and lifecycle playbook for a service or team — covering flag taxonomy, creation checklist, rollout strategy, monitoring requirements, cleanup policy, and governance. Use when asked to document feature flag practices, create a flag rollout plan, write a feature flag policy, or guide a team on flag lifecycle management. Produces a flag lifecycle playbook, taxonomy reference, per-flag creation template, rollout decision tree, and cleanup checklist.

Write a structured incident postmortem or post-incident review. Use when asked to write a postmortem, incident report, P1/P2 review, outage report, or RCA (root cause analysis). Generates a blameless postmortem with timeline, root cause, contributing factors, impact summary, and action items.

Write an infrastructure-as-code review checklist and conduct a structured review of Terraform, CloudFormation, Pulumi, or Ansible code. Use when asked to review IaC code, audit infrastructure configurations, check cloud security posture, or produce a reusable IaC review checklist. Produces a structured review report with severity-categorized findings, remediation guidance, and a reusable checklist.

Write a load and performance testing plan for a service. Use when asked to create a performance test plan, write load testing documentation, define stress or soak test scenarios, or set performance regression gates for CI. Produces a complete test plan document with scenario definitions, k6/Locust script skeleton, threshold table, result interpretation guide, and CI integration steps.

Write a local development environment setup guide for a service or project — covering prerequisites, repository setup, environment variables, local service dependencies, database seeding, running the service, running tests, common gotchas, IDE recommendations, and first-contribution checklist. Use when asked to write a dev setup guide, create onboarding documentation for engineers, document local environment setup, or write a getting-started guide for a codebase. Produces a complete setup guide that a new engineer can follow from zero to running tests in under 30 minutes, with a troubleshooting section for the most common setup failures.

Design a microservices decomposition for a monolith or new system, defining service boundaries, ownership, communication patterns, and migration plan. Use when asked to decompose a monolith, define service boundaries, design a microservices architecture, or plan a strangler-fig migration. Produces a bounded context map, service inventory table, communication pattern decisions, data ownership matrix, migration roadmap, and risk register.

Write a monitoring setup guide for a service — defining what to measure, how to alert on it, and how to build the observability stack covering the four golden signals, business metrics, log strategy, distributed tracing, alerting rules, dashboard layout, and observability debt. Use when asked to set up monitoring for a service, define alerting strategy, write an observability plan, create a dashboard specification, or document logging standards for a team. Produces a metric definitions table, alert rules specification, dashboard layout wireframe, log schema, tracing setup checklist, and monitoring gap analysis.

Write an on-call runbook for a service — covering alert definitions, escalation paths, common incident responses, and on-call handoff procedures. Use when asked to write an on-call guide, create alert runbooks, document escalation procedures, or prepare an on-call handoff document. Produces a structured on-call runbook with per-alert response procedures, escalation matrix, diagnostic commands, and handoff template.

Define and document performance budgets for a web service or application. Use when asked to set performance targets, define SLOs for latency or throughput, establish Core Web Vitals targets, create a performance baseline, or document performance regression policy. Produces a structured performance budget covering key user journeys, Core Web Vitals, backend latency SLOs, measurement tooling, CI enforcement, and breach response process.

Write a clear, structured pull request description from a git diff, branch summary, or commit list. Use when asked to write a PR description, draft a pull request, or document code changes. Produces a description with summary, motivation, changes made, testing steps, and reviewer guidance.

Write an engineering RFC (Request for Comments) for a technical decision, architectural change, or significant implementation approach. Use when asked to write an RFC, document a technical proposal, create a design doc, write an architecture decision for review, or produce a technical specification for team feedback. Produces a complete RFC document covering problem statement, motivation, proposed solution, alternatives rejected, implementation plan, migration plan, security and performance implications, observability changes, rollout plan, and open questions.

Write an operational runbook for a service, incident type, or deployment procedure. Use when asked to write a runbook, create an ops guide, document an operational procedure, or prepare an incident response playbook. Produces a runbook with overview, prerequisites, step-by-step procedures, rollback steps, troubleshooting table, and escalation paths.

Write a STRIDE-based threat model for a service or feature. Use when asked to produce a threat model, document security risks, identify attack vectors, assess a service's security posture, or prepare for a security design review. Produces a structured threat model covering assets, trust boundaries, STRIDE threat enumeration per component, risk scores, mitigation controls, and residual risk sign-off.

Write a service catalog entry for a microservice or internal platform service — covering service identity, purpose, architecture context, SLAs, API contract summary, data classification, dependencies, operational runbooks, and known limitations. Use when asked to document a service for an internal developer portal, write a service README for a platform catalog, create a service overview page, or onboard a new service to a service registry. Produces a complete service catalog entry suitable for an internal developer portal or wiki.

Define Service Level Objectives (SLOs) and an error budget policy for a service. Use when asked to write SLOs, define SLIs, calculate an error budget, set reliability targets, or create an error budget policy. Produces a complete SLO document with SLI definitions, target calculation, error budget policy, burn rate alerts, and review cadence.

Assesses pre-launch readiness across every function and produces an explicit Go / Conditional Go / No-Go recommendation. Use when preparing for any product or feature launch, running a pre-launch review, or determining whether a release is safe to ship. Produces a function-by-function readiness status, a ranked blockers list with owners and deadlines, a risk register, and a clearly reasoned launch recommendation.

Stress-test a plan, strategy, PRD, or launch by simulating hostile expert personas who attack it from every angle. Use when asked to red-team, stress-test, pre-mortem, pressure-test, play devil's advocate, or find the blind spots in a plan before committing. Produces a per-persona critique, a ranked list of the most dangerous risks, a pre-mortem, and the specific changes that would most strengthen the plan.

Explain what a piece of code does in plain English, at the depth the reader needs. Use when asked to explain code, walk through a function, understand an unfamiliar snippet, or onboard to a file. Produces a one-line summary, a step-by-step walkthrough, the non-obvious parts called out, and any bugs or smells spotted along the way.

Turn one piece of content into a full multi-platform pack — X/Twitter thread, LinkedIn post, newsletter section, Instagram carousel, and a short-form video script — each rewritten natively for its platform, not copy-pasted. Use when asked to repurpose content, atomize a blog post or video, turn one idea into many posts, or get more mileage from a piece. Produces ready-to-post drafts per platform with hooks, formatting, and CTAs tuned to each.

Define a creator's brand foundation — niche, audience, positioning, content pillars, voice/tone, and bio — so every post is consistent and on-brand. Use when asked to define a creator brand, find a niche, set content pillars, write a voice guide, craft a bio, or build a brand kit for a personal brand or channel. Produces a reusable one-page brand kit that other content skills can read so output sounds like you, every time.

Build a creator's sponsorship media kit and brand-deal outreach — the one-pager brands ask for, plus a pitch email and a rate card. Use when asked to make a media kit, pitch a brand, land a sponsorship, write a brand-deal email, or set creator rates. Produces a structured media kit (audience, stats, offerings, past work), a personalised outreach email, and a defensible rate card. The creator side of a sponsorship — distinct from a brand briefing a creator.

Generate scroll-stopping hooks — the first line of a post, thread, video, or email that decides whether anyone keeps reading. Use when asked to write a hook, an opener, a first line, a thread starter, a video cold-open, or to make something more clickable. Produces multiple distinct hook options across proven angles (curiosity, contrarian, result, story, stakes), each labelled with why it works and which platform it fits.

Write a full creator newsletter issue — subject line, preview text, hook, body with a clear takeaway, and a CTA — in the writer's voice, for Substack, beehiiv, ConvertKit, or email. Use when asked to write a newsletter, an email issue, a Substack post, or to turn notes/a topic into a sendable newsletter. Produces a ready-to-send issue with subject-line options and a skimmable structure. Distinct from B2B drip/nurture sequences.

Write a short-form video script for TikTok, Instagram Reels, or YouTube Shorts — built on the hook→retention→payoff structure that drives watch-time. Use when asked to script a Reel, TikTok, Short, or any 15–60s vertical video. Produces a timed script with a 0–3s hook, retention beats with on-screen text and B-roll cues, a payoff, and a CTA — plus a caption and on-screen-text list. Distinct from long-form YouTube scripting.

Analyse a finished A/B test and write the readout — the result, whether it's statistically and practically significant, what it means, and the ship/no-ship call. Use when asked to analyse experiment results, write an A/B test readout, interpret test data, or decide whether to ship a variant. Produces a clear verdict with the lift and confidence, segment cuts, the risks (peeking, novelty, sample), and a recommendation. Distinct from planning a test — this reads results.

Audit a dataset for the quality problems that silently break analysis — missingness, duplicates, outliers, type and range errors, consistency, and freshness — and produce a prioritised fix list. Use when asked to assess data quality, audit a dataset, check data before analysis, or explain why numbers look off. Produces a structured quality report across the standard dimensions, the specific issues found (with the checks to run), severity, and how to fix each.

Decompose a north-star metric into a driver tree — the inputs and sub-inputs that actually move it — so a team knows which levers to pull. Use when asked to build a metric tree, break down a north-star metric, map metric drivers, or find the inputs behind an output metric. Produces a hierarchical tree from the top metric down to actionable input metrics, with the relationships, the highest-leverage levers, and what to instrument.

Draft SMART IEP goals, accommodations, and present-levels statements that are measurable and compliant in spirit. Use when asked to write an IEP goal, draft special-education goals, list accommodations, or write a present-levels (PLAAFP) statement. Produces measurable annual goals with baselines, criteria, and measurement methods, plus matched accommodations. A drafting aid for educators — not legal advice; the IEP team and local requirements govern.