Claude Code Skills · page 114

FFmpeg-based video creation from image and audio.

Validate content framing on joy-grievance spectrum.

Legal workflows — contract review, compliance checks, NDA triage, risk assessment, legal briefs. Use when reviewing contracts, checking compliance, triaging NDAs, assessing legal risk, or drafting legal documents. Not legal advice — analysis support for qualified professionals.

Marketing: SEO audits, campaign planning, content strategy, email sequences, competitive analysis, brand review, performance reporting.

Business operations: vendor management, runbooks, process docs, risk assessment, capacity planning, change management, compliance tracking.

Product management: feature specs, roadmaps, stakeholder updates, user research synthesis, competitive analysis, metrics, sprint planning.

Personal productivity: pick what to work on next, prioritize tasks, plan your day, weekly reviews, meeting optimization, goals, status updates.

Draft interpersonal and meeting messages: emails, memos, status updates, structured pushback or disagreement.

Blog publishing, blueprint to upload: post outlines, pre-publish checks, SEO, bulk frontmatter edits, link/image/taxonomy audits, WordPress upload.

Python quality checks: ruff, pytest, mypy, bandit in deterministic order.

Reddit moderation via PRAW: fetch modqueue, classify reports, take actions.

Sales workflows — call prep, pipeline analysis, outreach, competitive intelligence, forecasting. Use when prepping for calls, reviewing pipeline health, drafting personalized outreach, analyzing competitors, or building forecasts.

Plan multi-part content series: structure, cross-linking, cadence.

Generate blog topic ideas: problem mining, gap analysis, expansion.

Document translation: quick/normal/refined modes with chunked parallel subagents and glossary support.

TypeScript type checking via tsc --noEmit with actionable error output.

Multi-language code quality gate with auto-detection and linters.

Video editing pipeline: cut footage, assemble clips via FFmpeg and Remotion.

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Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited reports. Costs $2-5 per task.

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Orchestrate coding work by delegating well-specified implementation tasks to xAI's Grok Build CLI (grok) running headlessly, while the coding assistant plans, writes the task specs, reviews every diff, and owns the result. Use when user says: 'use grok', 'grok build', 'delegate to grok', 'have grok implement', 'have grok execute', 'have grok build', 'send to grok', 'execute this plan with grok'. Executes a Markdown implementation plan task-by-task, or ad-hoc tasks with an inline spec.

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Delegate coding tasks to Google Jules AI agent for asynchronous execution. Use when user says: 'have Jules fix', 'delegate to Jules', 'send to Jules', 'ask Jules to', 'check Jules sessions', 'pull Jules results', 'jules add tests', 'jules add docs', 'jules review pr'. Handles: bug fixes, documentation, features, tests, refactoring, code reviews. Works with GitHub repos, creates PRs.

Delegate complex, long-running tasks to Manus AI agent for autonomous execution. Use when user says 'use manus', 'delegate to manus', 'send to manus', 'have manus do', 'ask manus', 'check manus sessions', or when tasks require deep web research, market analysis, product comparisons, stock analysis, competitive research, document generation, data analysis, or multi-step workflows that benefit from autonomous agent execution with parallel processing.

Execute read-only SQL queries against multiple Microsoft SQL Server databases. Use when: (1) querying MSSQL/SQL Server databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checking database contents. Supports multiple database connections with descriptions for intelligent auto-selection. Blocks all write operations (INSERT, UPDATE, DELETE, DROP, etc.) for safety.

Execute read-only SQL queries against multiple MySQL databases. Use when: (1) querying MySQL databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checking database contents. Supports multiple database connections with descriptions for intelligent auto-selection. Blocks all write operations (INSERT, UPDATE, DELETE, DROP, etc.) for safety.

Query and manage Google NotebookLM notebooks with persistent profile auth, source sync, batch/multi queries, and structured exports. Use when user asks to query NotebookLM, 'ask my notebook', shares NotebookLM notebook URLs, wants to list/create notebooks, manage sources, do bulk folder sync, dedupe, or audit exports.

Search, read, and manage Outline wiki documents. Use when: (1) searching wiki for documentation, (2) reading wiki pages or articles, (3) listing wiki collections or documents, (4) creating or updating wiki content, (5) exporting documents as markdown. Works with any Outline wiki instance (self-hosted or cloud).

Execute read-only SQL queries against multiple PostgreSQL databases. Use when: (1) querying PostgreSQL databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checking database contents. Supports multiple database connections with descriptions for intelligent auto-selection. Blocks all write operations (INSERT, UPDATE, DELETE, DROP, etc.) for safety.

Send Telegram messages, files, and alerts via bot API; read replies; ask questions with inline buttons and wait for the answer (approve-from-phone). Supports multiple bots and named chat targets. Use when the user wants to send a Telegram message or alert, get notified on Telegram when a task finishes or needs input, ask for approval via Telegram, or wire Telegram notifications into hooks, cron jobs, or CI. Triggers: 'telegram', 'send me a telegram', 'alert me on telegram', 'ask me on telegram', 'notify me when done'.

Send and receive WhatsApp messages via the unofficial linked-device client pywhats (pip install pywhats) — pair with QR, send text/images, group chat, read receipts, presence/typing, and a long-running JSON event stream. Use when the user wants to script WhatsApp as a linked companion device (like WhatsApp Web), pair a device, send a WhatsApp from Python, or listen for inbound messages. Triggers: 'whatsapp', 'send whatsapp', 'pair whatsapp', 'pywhats', 'linked device', 'whatsapp web client'. NOT the official WhatsApp Business/Cloud API.

Use this skill when helping users build applications with AI4J in their own Java or Spring Boot projects, including first chat, streaming, tool/function calls, MCP, RAG, memory, Agent runtime, Coding Agent CLI embedding, FlowGram integration, provider configuration, dependency selection, and troubleshooting. It guides beginner-friendly app scaffolding, secure environment-variable configuration, smallest useful AI4J module selection, runnable examples, and verification steps. For AI4J repository maintenance, follow the repository AGENTS.md and Harness Anything task workflow instead of this user-facing app builder skill.

Ask the application user concise structured questions when missing information blocks a safe AI4J agent action.

Build and maintain a Markdown guide that helps humans understand a repository through real behavior, concepts, and evidence. Use when a user asks to understand a repo, generate or update repo-docs, answer repo-architecture/onboarding questions, seed docs for a new project, sync docs after code changes, or delete generated repo docs.

Generate and maintain repo-docs with Chinese as the primary reader language while preserving source identifiers for lookup. Use when the user asks for Chinese repo docs, mentions repo-docs-zh, wants repo documentation in Chinese, or wants an existing repo-docs package localized for Chinese readers.

Same-epoch comparison of training runs across wandb, neptune, tensorboard, or mlflow. Aligns runs at the student's current step (never current-vs-final-of-baseline) and separates proxy metrics from downstream targets. Use when the user asks to compare runs, check if a run is improving, track lag against a baseline, rank experiments, or evaluate run-vs-run performance.

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Evidence-before-action diagnosis of failing ML experiments. Probes the system before guessing causes, process list, dmesg, GPU stats, log scrollback, checkpoint state, then states a hypothesis as a hypothesis and runs a smoke before claiming a root cause. Use when the user asks why a run is failing, diverging, OOMing, hanging, slow, producing weird metrics, has crashed, or asks to debug, diagnose, troubleshoot, or investigate a training issue.

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Pre-flight checklist for long-running ML training jobs covering config diff, run naming, path verification, monitoring setup, and restart-cleanup. Use when the user asks to launch, kick off, start, restart, or kill a training run, or mentions launching a multi-hour or multi-day GPU job (python train, accelerate launch, torchrun, deepspeed, sbatch, tmux training).

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End-to-end paper reproduction from arxiv URL through smoke runs to replication experiments. Handles missing or partial official code, missing training scripts, missing hyperparameters, and private datasets via similar-public-dataset substitution. Use when the user asks to reproduce, implement, replicate, or re-run a paper from scratch, or pastes an arxiv URL with reproduction intent.

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Re-detect this project's tech stack from package.json / requirements.txt / pyproject.toml / go.mod / Cargo.toml and diff it against the Tech Stack section of every CLAUDE.md. Read-only — returns added / removed / renamed dependencies, never edits.

Audit every CLAUDE.md in this project for drift against the last week of git history. Flags sections that reference deleted files, renamed paths, or removed dependencies. Read-only — returns a punch list, never edits.

Analyzes, generates, and enhances CLAUDE.md files for any project type using best practices, modular architecture support, and tech stack customization. Use when setting up new projects, improving existing CLAUDE.md files, or establishing AI-assisted development standards.

Verify every @path chain import and every markdown link inside every CLAUDE.md in this project resolves to an existing file. Read-only — returns broken links with file:line refs, never edits.

Behavioral guardrails for LLM-assisted coding. Use when writing, reviewing, or refactoring code in any project to avoid overcomplication, keep changes surgical, surface assumptions early, and execute against verifiable success criteria.

Scholarly writing and research compliance. Use for CRediT, preregistration, Plan S, Nelson Memo, preprints, ORCID, LLM disclosure.

Web accessibility patterns for news and academic sites. Use for WCAG audits, alt text, accessible data viz, and assistive tech.

Eliminates AI-generated writing patterns that erode reader trust. Use when writing or editing articles, docs, or press releases.

API hardening for Express, FastAPI, and serverless. Use for rate limiting, CORS, input validation, API keys, or OWASP API Top 10.

Explores intent and design before implementation. MUST use before creating or modifying any feature, component, or behavior.

Public records requests under Brazil's Access to Information Law (LAI). Use for Fala.BR filings, e-SIC, and CGU/CMRI appeals.

Scans the session for lessons and workflows, then proposes scoped CLAUDE.md edits. Use for save this lesson or add to context.

Legal methods for paywalled and geo-blocked content. Use for paywalls, academic papers, or open access via Unpaywall.

Manages attention and evidence in long agent sessions. Use for lost instructions, dropped evidence, or large multi-agent contexts.

Crisis communication and rapid-response workflows. Use when covering breaking news or coordinating fast fact-checking on deadline.

Acquire, clean, analyze, verify, visualize, and explain data for journalism. Use for reproducible data reporting, statistical analysis, maps, or public methodology.

Digital archiving with AI enrichment and entity extraction. Use when building content archives or knowledge graphs.

Directs the current request through configured lower-tier agents. Use only for explicit /director or /dev-toolkit:director invocation.

Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

Creates print-ready HTML that exports to PDF. Use to make a proposal, report, one-pager, newsletter, slides, or flyer.

Manages newsroom editorial workflows. Use when tracking assignments, managing deadlines, or coordinating editorial calendars.

Electron desktop apps with React, TypeScript, and Vite. Use for IPC, window/tray, PTY terminals, WebRTC, and packaging.

Use when you have a written implementation plan to execute in a separate session with review checkpoints

Structured fact-checking workflow. Use when verifying claims for publication, rating claims, or setting pre-publication checks.

Presents options for merge, PR, or cleanup. Use when work is complete, tests pass, and you must decide how to integrate.

FOIA and public records workflows. Use when drafting requests, tracking submissions, checking exemptions, or appealing denials.

Curated free APIs with verified free-tier limits. Use when suggesting APIs or finding free weather, news, finance, or sports data.

Interview preparation and recording-consent law. Use for research, question frameworks, one-party or all-party consent rules.

Transcription, recording management, and quote extraction. Use when processing audio/video or generating timestamped transcripts.

Remote JavaScript console and debugging on mobile. Use for phone/tablet console errors, responsive testing, Eruda, and vConsole.

Email newsletter workflows. Use when creating newsletters, building subscriber lists, designing templates, or tracking engagement.

Enforces AP Style and newsroom conventions. Use when writing news, editing drafts, creating headlines, or tightening copy.

Scaffold a new Open Knowledge Format (OKF) knowledge base — a tree of small markdown concept files with YAML frontmatter, a spec, and a validator. Use when the user wants to start an OKF atlas/wiki/knowledge base, structure docs as one-concept-per-file with provenance, or initialize OKF in a repo (optionally into its GitHub wiki).

Builds an Open Knowledge Format (OKF) knowledge base from existing docs, notes, or a repo. Use to scaffold an OKF wiki.

Flags irreversible decisions before commit. Use for data models, infra, auth boundaries, API contracts, event schemas, CI/CD.

Web page change detection, availability tracking, and RSS feed generation. Use to monitor changes, downtime, or make a feed.

Designs PDF reports and proposals from HTML with previews and branding. Use to create, export, or securely upload a PDF.

Embeds photo IPTC/EXIF/XMP metadata, caption, credit, alt text, license, AI-source label, GPS stripping, and C2PA credentials.

Generates CLAUDE.md project memory files that transfer institutional knowledge. Use when setting up projects or onboarding.

Generates LESSONS.md files capturing institutional knowledge and failures. Use when closing out projects or investigations.

Python data pipelines with modular architecture. Use for content workflows, batch jobs, or Google Sheets/Drive integration.

Verifies review feedback with technical rigor, not blind agreement. Use when receiving review before implementing suggestions.