- 📁 references/
- 📁 scripts/
- 📄 SKILL.md
Generate a persistent .nexus-map/ knowledge base that lets any AI session instantly understand a codebase's architecture, systems, dependencies, and change hotspots. Use when starting work on an unfamiliar repository, onboarding with AI-assisted context, preparing for a major refactoring initiative, or enabling reliable cold-start AI sessions across a team. Produces INDEX.md, systems.md, concept_model.json, git_forensics.md and more. Requires shell execution and Python 3.10+. For ad-hoc file queries or instant impact analysis during active development, use nexus-query instead.
Export, write, and manage Feishu/Lark cloud documents. Supports docx, sheets, bitable, wiki, WeChat article import/export, drive management, and browser-based export for public or browser-readable docs. Use this skill when you need to read, analyze, write, or manage content in a Feishu knowledge base.
Architecture design and documentation. Produces 3-architecture.md with component diagrams, data flow, integration points, and architecture decisions. Reads existing tech-spec as input. Use when: designing system architecture, documenting component interactions, creating architecture docs, producing 3-architecture.md. Not for: tech spec writing (use tech-spec), code implementation (use feature-dev), architecture consulting only (use codex-architect).
This skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Guides discovery of local skills and enforces minimal documentation style.
Spiceflow is a super simple, fast, and type-safe API and React Server Components framework for TypeScript. Works on Node.js, Bun, and Cloudflare Workers. Use this skill whenever working with spiceflow to get the latest docs and API reference.
Distill a colleague into a reusable AI skill (work + persona) using tool connections — Slack, Slack AI, Jira, GHE, Bitbucket, Confluence, SharePoint, Teams, Outlook, Notion, Linear, Google Docs, and more — without manual paste. Use when the user wants a colleague skill, digital twin of a coworker, or capture of someone's technical voice from workplace systems. Requires tool_connections + 10xProductivity verified_connections (or equivalent .env).
Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.
Guide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations. Use this skill when the user asks to: (1) create a new skill, (2) make a skill, (3) build a skill, (4) set up a skill, (5) initialize a skill, (6) scaffold a skill, (7) update or modify an existing skill, (8) validate a skill, (9) learn about skill structure, (10) understand how skills work, or (11) get guidance on skill design patterns. Trigger on phrases like \"create a skill\", \"new skill\", \"make a skill\", \"skill for X\", \"how do I create a skill\", or \"help me build a skill\".
Use when working in a Ruby project - provides authoritative sources for documentation, typing, and tooling
Backfill missing ADR from git history and documentation
- 📁 .cargo/
- 📁 .github/
- 📁 crates/
- 📄 .env.example
- 📄 .env.production.example
- 📄 .gitignore
AI agent orchestrator with Neo4j knowledge graph, Meilisearch search, and Tree-sitter parsing. Use for coordinating multiple coding agents on complex projects with shared context and plans.
Use when running demo recordings, diagnosing recording failures, or regenerating GIFs from existing MP4s. Covers the Docker + VHS + ffmpeg pipeline. --- # VHS Demo Recording Use this skill to run, debug, or regenerate gh-infra demo GIF recordings. ## When To Use - Running `make demo` or `docs/tapes/vhs.sh` directly - Diagnosing why a recording failed or produced a 0-byte GIF - Regenerating GIFs from existing MP4s without re-recording - Understanding the recording pipeline ## Prerequisites - Docker must be running - Go toolchain (for cross-compiling the Linux binary) ## Pipeline ```text make demo 1. go build -o docs/tapes/.gh-infra (GOOS=linux GOARCH=amd64) 2. docs/tapes/vhs.sh a. docker build → gh-infra-vhs image (VHS + vim) b. For each *.tape in parallel: docker run --memory=1g --cpus=2 → produces .mp4 c. For each .mp4 sequentially: docker run jrottenberg/ffmpeg:7-alpine → produces .gif 3. Copy GIFs to docs/public/ 4. Clean up .gh-infra binary ``` ## Why MP4 → GIF Instead of Direct GIF VHS's built-in GIF output is unreliable when multiple containers run in parallel on macOS. The workaround is to output MP4 only from VHS, then convert to GIF via ffmpeg with high-quality settings (lanczos scaling, sierra2_4a dithering, 256 colors). ## Key Files | File | Role | |------|------| | `docs/tapes/vhs.sh` | Orchestrator: parallel recording + sequential GIF conversion | | `docs/tapes/Dockerfile` | `ghcr.io/charmbracelet/vhs` + vim | | `docs/tapes/*.tape` | VHS scenario files | | `docs/tapes/setup*.sh` | Per-demo setup scripts (mock data, gh wrapper) | | `docs/tapes/mock-gh` | Generic mock for `gh` CLI | | `docs/tapes/.gh-infra` | Cross-compiled Linux binary (ephemeral) | ## Output Locations - Raw recordings: `docs/tapes/*.mp4` and `docs/tapes/*.gif` - Published assets: `docs/public/demo*.gif` (copied by Makefile) ## Environment Variables `make demo` forwards `DEMO_ENV` variables into Docker via `-e` flags. Use this to pass environment overrides (e.g. `GH_INFRA_OUTPUT`) into
