planner
Interactive planning and execution for complex tasks. Use when breaking down multi-step projects (planning) or executing approved plans through delegation (execution). Planning creates milestones with specifica...
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Interactive planning and execution for complex tasks. Use when breaking down multi-step projects (planning) or executing approved plans through delegation (execution). Planning creates milestones with specifica...
Synchronizes CLAUDE.md navigation indexes and README.md architecture docs across a repository. Use when asked to "sync docs", "update CLAUDE.md files", "ensure documentation is in sync", "audit documentation",...
Optimize system prompts for Claude Code agents using proven prompt engineering patterns. Use when users request prompt improvement, optimization, or refinement for agent workflows, tool instructions, or system...
Invoke IMMEDIATELY via python script for structured problem analysis and decision reasoning. Do NOT explore first - the script orchestrates the workflow.
Invoke IMMEDIATELY via python script to stress-test decisions and reasoning. Do NOT analyze first - the script orchestrates the critique workflow.
Start a managed Chrome CDP session with a prewarmed profile dir and reuse login cookies for browser automations.
Prepare a clean local checkout for a GitHub PR (worktree-first via `wf`/`wt`), fetch the PR base ref, and emit PR context (CI checks + PR comments/reviews) as JSON for downstream review.
Generate `llms.txt` and `llms-full.txt` for a docs/product website from just a URL. Detect and reuse an existing `/llms.txt`, discover the docs source repo via “Edit this page”/GitHub links, fall back to `sitem...
Use git-repo-manager (GRM) on this machine via the `grmrepo` wrappers: refresh config from canonical clones, view status, and bootstrap a new machine by syncing repos.
Use when working with stacked branches, managing dependent PRs/CRs, or uncertain about git-spice commands (stack vs upstack vs downstack) - provides command reference, workflow patterns, and common pitfalls for...
Run PAL MCP tools (precommit, codereview, secaudit, debug, apilookup, listmodels, etc.) via the `mcporter` CLI against the PAL stdio MCP server (`uvx … pal-mcp-server`) instead of configuring PAL as a Codex MCP...
Create a new experiment workspace directory: initialize git, write an AGENTS.md goal doc, and create references/ with index.md + notes/links markdown plus GitHub repos cloned under references/repos (gitignored)...
Convert documents and files to Markdown using markitdown. Use when converting PDF, Word (.docx), PowerPoint (.pptx), Excel (.xlsx, .xls), HTML, CSV, JSON, XML, images (with EXIF/OCR), audio (with transcription)...
Run `codex review` plus PAL `codereview` (via the `pal-mcporter` skill) against a git base ref, then merge both outputs into one prioritized, actionable review.
Simplify and refine code for clarity, consistency, and maintainability while preserving behavior. Use for refactor/simplify requests, polishing PR diffs, or cleaning up recently modified code without changing o...
End-to-end CI fixer loop for the current git branch/PR (GitHub Actions + Buildkite). Use when asked to “fix CI”, “make checks green”, or “address failing checks”, and the workflow should: (1) discover failing c...
Generate comprehensive, educational commit messages and execute git commit
Standardized, hypothesis-driven debug investigation workflow for unexpected behavior, regressions, incidents, flaky tests, or production issues. Use to plan instrumentation, reproduce with decisive signals, com...
Guide deployment strategies, CI/CD setup, and organization rollout for AROG framework. Use when users ask about deployment, GitHub Actions, or organization-wide setup.
Configure and optimize AI assistance (Copilot, agents, skills) for AROG development. Use when users ask about Copilot, custom agents, or AI integration.
Apply Copilot review feedback and resolve comments.
Capture lessons from the current PR for future reference.
Ruthless feature prioritization using Impact vs Effort matrix and stage-based rules. Prevents feature creep by focusing on retention → core features → monetization → growth. Challenges ideas with validation que...
Brutally honest pre-build reality check for app ideas. Evaluates market saturation, demand, feasibility, monetization, and interest factor to save you from building things nobody wants.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.