Claude Code Skills · page 121

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Use when working with TeamCity CI/CD or when a user provides a TeamCity build URL — drives the `teamcity` CLI for builds, logs, jobs, queues, agents, pools, projects, and pipelines.

Show all your installed skills. Deprecated alias — use /janitor-report --brief.

Find new skills on GitHub or check a specific skill before installing. Use when the user wants to search for skills, evaluate a skill URL, check overlap with existing skills before installing, or compare a local skill against alternatives.

Automatically fix skill problems (safe preview first). Also use with --prune to find and remove broken symlinks, empty directories, and orphaned skills.

Check if a new skill overlaps with existing ones before installing. Deprecated alias — use /janitor-discover with a URL or path.

Full health check of all your skills in one report. Use when the user wants to check for errors, find duplicates, detect broken skills, or get a complete overview of skill health. Pass --brief for inventory only.

Search GitHub for new skills to install. Deprecated alias — use /janitor-discover (combines search + pre-install check).

Show how many context window tokens each skill consumes. Deprecated alias — use /janitor-value (which combines tokens with usage).

Show which skills you use. Deprecated alias — use /janitor-value (which now combines usage + token cost).

Show whether each skill is earning its context-window cost — combined tokens-used view sorted by waste. Use when the user asks 'are my skills worth it', 'what's my context budget', 'which skills are dead weight', or anything about skill value, token cost, or usage.

Delegates data engineering tasks to altimate-code, a specialized CLI agent with 100+ purpose-built data tools — SQL analysis, column-level lineage, dbt build/test/run, warehouse profiling, FinOps, and connectivity to Snowflake, BigQuery, Redshift, Databricks, Postgres, MySQL, DuckDB. Use this skill when the task needs live warehouse access, column lineage, multi-step data exploration, dbt builds against a real warehouse, or when the user explicitly invokes "altimate", "altimate-code", or "the data agent".

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Use when turning local, private, or personal Agent Skills into publishable skills for GitHub, marketplaces, teams, or public sharing, especially when private paths, personal habits, credentials, internal hosts, or user-specific context must be removed.

Use when mining coding-agent session history, archived transcripts, memories, or repeated local work to discover recurring workflows that should become new Agent Skills.

Use when auditing or adapting newly created, downloaded, forked, installed, or community Agent Skills to the user's tools, habits, directories, session history, and preferred workflows, especially when triggers feel wrong, noisy, or too generic.

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PDF conversion toolkit featuring AI layout analysis and OCR. Converts PDFs to Word/Docx, Markdown, JSON, PPT, CSV, HTML, and XML for seamless LLM data processing.

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Guide for creating effective skills. This skill should be used when users want

This skill should be used when writing in the distinctive style of David Heinemeier Hansson (DHH). It applies when creating blog posts, technical articles, business content, manifestos, or any prose requiring a clear, punchy, opinionated style.

This skill should be used when reviewing or editing copy to ensure adherence to Every's style guide. It provides a systematic line-by-line review process for grammar, punctuation, mechanics, and style guide compliance.

This skill should be used when writing technical content in the style of Hunt/Thomas (The Pragmatic Programmer) and Joel Spolsky (Joel on Software). It applies when creating technical essays, documentation, tutorials, or explanatory content that needs to be clear, engaging, and actionable.

This skill should be used when extracting voice profiles from sample text, creating voice documentation, or matching a specific writing style. It applies when users provide sample text and want to capture the voice for future use.

This skill should be used when orchestrating complex writing workflows with multiple phases. It provides two-agent orchestration patterns, the two-gate content readiness assessment, 10 baseline writing strategies, 20+ situational strategies, and quality checkpoints. Inspired by the Spiral Writing System.

Collaborative brainstorming partner for multi-session ideation projects. Use

Expert documentation generator for coding projects. Analyzes codebases to

Develop ebook ideas into structured concepts ready for architecture. Use when

Surface ebook ideas you didn't know you had. Use when ready to discover what

Create a structured session handoff document for continuity across sessions.

Generate platform-specific, actionable growth playbooks for mobile apps. Use

Systematically analyze app reviews for competitor research or own-app

Optimize iOS App Store and Google Play Store listings for maximum

Full-pipeline iOS App Store opportunity research. Discovers underserved

Orchestrate iOS/macOS app scaffolding and optional skill adoption for existing projects. Use when users want a guided wizard that can scaffold with XcodeGen and optionally install xcode-makefiles and simple-tasks.

Install a fast local task workflow for single-project planning with `scripts/task.sh` (claim, done, status, reporting) backed by `tasks/TASKS.md` and optional `tasks/details/` notes. Use for lightweight in-progress task coordination, not full team issue tracking.

Install strict Xcode Makefile tooling for iOS/macOS projects, including build/run/test scripts with AGENT_NAME-based per-agent isolation under build/. Use when a project needs reproducible local CLI builds without full app scaffolding.

Comprehensive step-by-step launch checklist for shipping mobile apps to the

Design effective paywalls, structure subscription tiers, and optimize pricing

Design the structural and emotional architecture for nonfiction books. Use

Stress-test book concepts against existing research before committing to

Develop raw book ideas into structured nonfiction book concepts. Use when the

Assess commercial viability of book concepts for Amazon KDP self-publishing.

Plan, orchestrate, and validate deep research for nonfiction books. Use when

Plan and architect a single chapter at beat-level granularity. Use when you

Produce first drafts that match a writer's authentic voice using their Voice

Capture a writer's voice DNA through collaborative interview and sample

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Guide conversations through dynamic shifts between zoom levels (scale) and connecting/exploring (intent) to unlock creative breakthroughs and prevent rigid thinking. Helps enhance and develop biased, focused, diversified, dispersed states. Receives signals from writing assistant's pattern detection to diagnose cognitive states. Identifies structural gaps between idea clusters as spaces for innovation. Tracks temporal dwelling patterns and manages energy across personality modes. Uses playfulness for difficult transitions from chaos to clarity. Reads emotional feedback—inspiration signals continuation, exhaustion/frustration trigger transitions. Prevents obsessive loops through sustainable cycling through topical clusters and latent nodes. Maximum creative potential lives in gaps and dissipative states. Apply for complex analysis, when a user is stuck, breakthroughs, decision paralysis, group facilitation, breaking repetitive patterns, or when grammatical patterns reveal cognitive issues.

Engage in critical thinking by questioning assumptions, exploring alternative perspectives, and uncovering latent topics in conversations. Use when discussions could benefit from deeper exploration, when identifying blind spots, or when broadening understanding through respectful challenge and curiosity-driven inquiry.

Transfer embodied movement principles (Vipassana equanimous scanning, Systema adaptive fluidity, contemporary dance tensegrity, EightOS confluence) to navigate work, relationships, projects, strategy, and everyday situations. Uses InfraNodus MCP tools to map situations as networks and apply body-informed intelligence to their structure. Trigger when someone is stuck, in conflict, negotiating, blocked, fixated, overwhelmed, or facing rigidity — or asks for "embodied advice", "fluid approach", "organic strategy", "adaptive strategy", "how would the body handle this". Also trigger on phrases like "I'm stuck", "standoff", "tense situation", "can't move forward". Apply proactively when situations exhibit excessive force, single-point fixation, or neglect of peripheral dynamics.

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Generate comprehensive ontological knowledge graphs in [[wikilinks]] syntax for InfraNodus visualization. Use when the user requests to create an ontology, extract entities and relationships from text, or generate knowledge graph structures. Handles both topic-based ontology generation and entity extraction from existing text. Output is formatted for direct paste into InfraNodus.com for network visualization and AI-powered gap analysis.

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Comprehensive SEO analysis skill for content optimization. Use when the user asks to perform SEO analysis, keyword research, content gap analysis, search intent analysis, or wants to optimize content for search engines. Covers topic-based keyword research (informational supply and search demand), website/document analysis, and actionable SEO recommendations. Works best with InfraNodus MCP tools for real Google data access.

Analyze discourse structure using InfraNodus optimize_text_structure tool and shift perspective based on diversity score. Use when a conversation, text, URL, or YouTube video would benefit from additional viewpoints, when the user feels stuck in one frame of thinking, when research needs broadening, when analyzing any text for structural balance, or when the user asks to "shift perspective", "broaden the view", "what am I missing", "analyze the structure", "check for bias", "develop this further", or "give me a different angle". Also trigger when the user provides a text or URL and asks for critical analysis, development suggestions, or wants to understand what perspectives are underrepresented. Works hand-in-hand with cognitive-variability skill for state-based interventions after structural diagnosis.

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Apply Vipassana meditation principles to LLM processing — equanimous scanning, non-reactive observation, impermanence awareness (anicca), and breaking the sankhara chain of conditioned reactions. Trigger on "meditate on", "observe without reacting", "see clearly", "practice vipassana", "scan equanimously", "what's really going on here", "non-reactive analysis", "observe without judgment". Also trigger when the user wants bare attention rather than jumping to conclusions, wants to dissolve fixation loops, or asks Claude to apply contemplative processing. Apply proactively when conversations show reactive thinking, craving for particular outcomes, or aversion to uncomfortable truths. Synergizes with cognitive-variability, embodied-navigation, and shifting-perspective skills.

Generate high-CTR YouTube thumbnails, titles, and video scripts optimized for virality. Use when the user asks to create YouTube video titles, thumbnail text/concepts, video scripts, optimize existing titles for CTR, analyze why a video isn't performing, or needs help making content more clickable. Covers thumbnail wording, title copywriting, video script structuring (Pattern Interrupt → Hook → Framing → Curiosity Loop → Escalation → Payoff → Relevance Bridge → Loop Reopen), and YouTube algorithm optimization.

Refine texts in any language: perfect grammar and spelling, paraphrase ideas, avoid AI detection while maintaining authentic voice. Detects grammatical patterns that signal cognitive states or structural issues—acting as a sensory system for deeper strategic insights.

Kill orphaned dev servers, browsers, and port-hogging processes spawned during development. Use when ports are occupied, too many node/browser processes are running, or you want a fresh start.

Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.

Documentation-first development methodology. The goal is AI-ready documentation - when docs are clear enough, code generation becomes automatic. Triggers on "Build", "Create", "Implement", "Document", or "Spec out". Version 3.5 adds Phase 2.5 Adversarial Review and renames internal verification to Spec Gate (structural completeness). Clarity Gate is now a separate standalone tool for epistemic quality.

小红书 / 抖音 / 快手 / 视频号 自媒体「(compose 素材打底 →) 找对标 → 拆爆款 → 套自己」四命令闭环。给我的账号 / 选题方向 / 原始素材（文档/图片/视频），吐出"可发的下一条笔记初稿"。当用户说"找对标"、"拆这条爆款"、"对着这条仿写"、"下一条该写什么"、"我这个号缺爆款选题"、"帮我写一条对标 XX 的笔记"、"我有素材帮我写一条能爆的"、"这份文档/这组图/这段视频能出一条爆款吗"时调用。诊断模式（"为什么不爆"）走 references/diagnostic-mode.md。

Detect common technical and organizational anti-patterns in proposals, architectures, and plans. Use when strategic-cto-mentor needs to identify red flags before they become problems.

Recommend architecture patterns (monolith, microservices, serverless, modular monolith) based on scale, team size, and constraints. Use when cto-architect needs to select the right architectural approach for a new system or migration.

Identify and challenge implicit assumptions in plans, proposals, and technical decisions. Use when strategic-cto-mentor needs to surface hidden assumptions and wishful thinking before they become costly mistakes.

Generate targeted clarifying questions (2-3 max) that challenge vague requirements and extract missing context. Use after request-analyzer identifies clarification needs, before routing to specialist agents. Helps cto-orchestrator avoid delegating unclear requirements.

Infrastructure and development cost estimation for technical projects. Use when planning budgets, evaluating build vs buy decisions, or projecting TCO for architecture choices.

Transform clarified user requests into structured delegation prompts optimized for specialist agents (cto-architect, strategic-cto-mentor, cv-ml-architect). Use after clarification is complete, before routing to specialist agents. Ensures agents receive complete context for effective work.

Deep expertise in ML/CV model selection, training pipelines, and inference architecture. Use when designing machine learning systems, computer vision pipelines, or AI-powered features.

Analyze incoming user requests to detect intent, request type (design/validate/debug/document), complexity level, and identify vague requirements or buzzwords that need clarification. Use when cto-orchestrator receives new requests that need classification before routing to specialist agents.

Generate phased implementation roadmaps with Epic/Story/Task breakdown, effort estimates, and validation checkpoints. Use when cto-architect needs to create actionable technical roadmaps from architecture designs.

Guidance for scaling systems from startup to enterprise scale. Use when planning for growth, diagnosing bottlenecks, or designing systems that need to handle 10x-1000x current load.

Recommend technology stacks based on project requirements, team expertise, and constraints. Use when selecting frameworks, languages, databases, and infrastructure for new projects.

Generate structured 8-section validation reports with verdict (GOOD/BAD/NEEDS MAJOR WORK), strengths, critical flaws, blindspots, and concrete path forward. Use after strategic-cto-mentor has completed validation analysis and needs to produce final deliverable.

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Manage Venice API keys. Covers GET/POST/PATCH/DELETE /api_keys, GET /api_keys/{id}, GET /api_keys/rate_limits, GET /api_keys/rate_limits/log, the two-step /api_keys/generate_web3_key wallet flow, INFERENCE vs ADMIN key types, and per-key consumption limits (USD / DIEM).

High-level map of the Venice.ai API - base URL, authentication modes, endpoint categories, response headers, pricing model, error shape, and versioning. Load this first when starting any Venice integration.

Async music / audio-track generation via Venice. Covers the /audio/quote + /audio/queue + /audio/retrieve + /audio/complete lifecycle, lyrics vs instrumental, voice selection, duration, language, speed, model capability probing, and webhook-free polling.