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Found 71 Skills
Discover feature areas in the current repository that are not yet documented under the agent docs `features/` tree (scaffolded by `setup-agentic-repository` — `agents-docs/features/` by default, or wherever `--docs-dir` put it), then create populated feature docs from the canonical template. Use whenever the user wants to find undocumented features, fill out `features/`, catch up on missing feature documentation, document feature X/Y/Z, or mentions "find features". This is the natural follow-up to `setup-agentic-repository`, which scaffolds the empty `features/` tree this skill populates.
Analyzes existing codebases to understand structure, patterns, and technical debt
Build a multi-page Markdown wiki directory for a large software repository after reading and analyzing the whole codebase. Use when the agent is asked to create repository wiki documentation, onboarding docs, architecture guides, codebase tours, maintainer handbooks, or deep explanations of modules, core code paths, algorithms, design decisions, tradeoffs, tests, tooling, and operations for code learners or new maintainers. Optimized for large repositories with hundreds of thousands of lines of code where maintainers need broad coverage and deep subsystem documentation. Also supports optional Rspress/static documentation site setup when the user explicitly asks to publish or deploy the generated wiki. Supports Markdown output with Mermaid, Graphviz, and KaTeX where useful.
A documentation-focused skill for game architecture design. Produces technical selection, design, and planning documents through a structured pipeline. Use this skill to generate requirement analysis, technical design, and implementation planning documents for new game projects or major feature development.
When the user wants a comprehensive technical analysis of a codebase or project. Also use when the user mentions 'analyze this codebase,' 'technical overview,' 'document this architecture,' 'what does this codebase do,' 'summarize this repo,' 'code audit,' 'architecture review,' 'codebase walkthrough,' or 'analyze this project.' Performs a multi-phase analysis covering architecture, code quality, testing, and infrastructure, producing a detailed markdown report targeting engineers. For quick code searches or single-file reviews, see standard editor tools.
Creates professional case studies, engagement summaries, and project summaries. Use when the user wants to create a 'case study,' 'client success story,' 'engagement summary,' 'project summary,' or 'portfolio piece.'
Deep codebase analysis to generate 8 comprehensive documentation files. Adapts based on path choice - Greenfield extracts business logic only (tech-agnostic), Brownfield extracts business logic + technical implementation (tech-prescriptive). This is Step 2 of 6 in the reverse engineering process.
Facilitates the final step of a proven customer-interview method: distilling everything a round of interviews produced (GOALS.md, HYPOTHESES.md, QUESTIONS.md, and a directory of per-interview debriefs) into a single FINAL-REPORT.md the whole company can use. Top: a summary as brief as possible without losing salient information. Below: numbered findings (F1, F2, …) tagged validated / disproved / directional / watch / untested, every one citing debriefs and quoting customers verbatim, plus per-area briefs that marshal the evidence for ideal-customer definition, positioning, pricing, marketing & sales, and product priorities. Load when the user says 'write up what we found from the interviews,' 'summarize the interview results for the team,' or 'turn the interviews into a report.' Do NOT load for updating hypotheses from interviews (the synthesis step), for recording one conversation (the debrief step), or for actually doing the positioning, ideal-customer, or pricing work the report feeds.
Configures ExDoc for Elixir projects including mix.exs setup, extras, groups, cheatsheets, and livebooks. Use when setting up or modifying ExDoc documentation generation.
Integrated project management system with documentation, language initialization, and template optimization modules. Use when setting up projects, generating documentation, configuring multilingual support, or optimizing templates.
Generate a comprehensive repository summary and narrative story from commit history
Generate DeepWiki-style repository analysis reports. Deeply analyze codebase architecture, module dependencies, and core systems, outputting structured documentation with Mermaid diagrams, source file references, and tables.