Repository
jellydn/my-ai-tools agent skills
- skills
- 33
- GitHub stars
- 123
GitHub description: “Comprehensive configuration management for AI coding tools - Replicate my complete setup for Claude Code, OpenCode, Amp, Li, Codex and Claude Code Switch with custom configurations, MCP servers, plugins, and commands.”
- Stars
- 123 (13 forks)
- Licence
- MIT
- Last push
- Oct 2026
- Created
- Jan 2026
- Homepage
- ai-tools.itman.fyi
- amp
- claude-code
- open-code
- codex
- skills
Install all skills
npx skills add jellydn/my-ai-toolsAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in jellydn/my-ai-tools, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | A skill your agent uses when monitoring an open GitHub PR for CI failures, review feedback, mergeability, and safe retries or fixes. | jellydn/ | 123 | — | ~4.1k | Automated safety check: Pass | MIT | yesterday |
| 2 | Posts a concise visual outline as a GitHub pull request comment. | jellydn/ | 123 | — | ~764 | Automated safety check: Pass | MIT | yesterday |
| 3 | Manage project knowledge with qmd — captures learnings, decisions, and conventions | jellydn/ | 123 | — | ~2.1k | Automated safety check: Pass | MIT | yesterday |
| 4 | 4.Prd Generate Product Requirements Documents from feature ideas — plans specs and requirements | jellydn/ | 123 | 4 repos | ~1.8k | Automated safety check: Pass | MIT | yesterday |
| 5 | Build an interactive report or experiment when the user asks to explore model capabilities. | jellydn/ | 123 | — | ~2k | Automated safety check: Pass | MIT | yesterday |
| 6 | Fix PR review comments by implementing requested changes. An agent skill from jellydn/my-ai-tools. | jellydn/ | 123 | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 7 | A skill your agent uses when reviewing code for security vulnerabilities, hardening an application, or deriving security requirements from OWASP/ASVS guidance. | jellydn/ | 123 | — | ~2.9k | Automated safety check: Notes | MIT | yesterday |
| 8 | Draft pull requests with structured descriptions using gh CLI | jellydn/ | 123 | — | ~1.4k | Automated safety check: Pass | MIT | yesterday |
| 9 | 9.Adr Record architecture decisions with ADRs — captures why, alternatives considered, and consequences | jellydn/ | 123 | — | ~594 | Automated safety check: Pass | MIT | yesterday |
| 10 | Inspect history and architecture for hidden constraints before risky cross-cutting changes. | jellydn/ | 123 | — | ~1.7k | Automated safety check: Notes | MIT | yesterday |
| 11 | Audit a diff for structural maintainability and unnecessary complexity. | jellydn/ | 123 | — | ~817 | Automated safety check: Pass | MIT | yesterday |
| 12 | 12.Docs Update Update docs when code changes — reviews commits and syncs user-facing documentation | jellydn/ | 123 | 1 repo | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 13 | 13.Code Review Review a branch, PR, or worktree diff for repository conventions and stated intent. | jellydn/ | 123 | — | ~2.9k | Automated safety check: Pass | MIT | yesterday |
| 14 | 14.Ralph Convert PRDs to prd.json format for the Ralph autonomous agent system | jellydn/ | 123 | — | ~1.8k | Automated safety check: Pass | MIT | yesterday |
| 15 | 15.Codemap Create a seven-document architecture map when the user asks to map a codebase. | jellydn/ | 123 | — | ~2.8k | Automated safety check: Notes | MIT | yesterday |
| 16 | Group staged changes into atomic commits with commitizen convention | jellydn/ | 123 | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 17 | Use MCP tools to trace behavior that spans multiple modules or history sources. | jellydn/ | 123 | — | ~1.2k | Automated safety check: Pass | MIT | yesterday |
| 18 | 18.Doc Search Search project documentation — ADRs, wiki entries, conventions via ripgrep, qmd, fff, and ctx | jellydn/ | 123 | — | ~1.4k | Automated safety check: Pass | MIT | yesterday |
| 19 | 19.Git Context Search git history for context — commit messages, blame, related changes, impact analysis | jellydn/ | 123 | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 20 | 20.Handoffs Create handoff plans for continuing work across sessions. An agent skill from jellydn/my-ai-tools. | jellydn/ | 123 | — | ~1.4k | Automated safety check: Pass | MIT | yesterday |
| 21 | Implement a complete spec from its ticket graph, using isolated workers and one integration branch. | jellydn/ | 123 | — | ~1.7k | Automated safety check: Pass | MIT | yesterday |
| 22 | Log implementation decisions — tracks deviations from plan and captures rationale | jellydn/ | 123 | — | ~3k | Automated safety check: Pass | MIT | yesterday |
| 23 | 23.LLM Wiki Build a persistent compounding wiki from raw sources using the LLM Wiki pattern | jellydn/ | 123 | — | ~1.5k | Automated safety check: Pass | MIT | yesterday |
| 24 | Coordinate a read-only lead and implementation executor when role separation is requested. | jellydn/ | 123 | — | ~1.5k | Automated safety check: Pass | MIT | yesterday |
| 25 | Turn ideas into executable goal packages with guided interviews and codebase analysis | jellydn/ | 123 | — | ~1.6k | Automated safety check: Pass | MIT | yesterday |
| 26 | 26.PR Write a fast-to-review pull request body with a visual summary, before/after evidence, and merge-risk analysis. | jellydn/ | 123 | — | ~1.4k | Automated safety check: Pass | MIT | yesterday |
| 27 | 27.Quiz Me Verify understanding after implementation with targeted quizzes | jellydn/ | 123 | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 28 | 28.Retro Review a coding session and propose environment changes that prevent repeated agent mistakes. | jellydn/ | 123 | — | ~1.7k | Automated safety check: Pass | MIT | yesterday |
| 29 | 29.Slop Remove AI-generated code slop from git diffs to maintain code quality | jellydn/ | 123 | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 30 | Clarify requirements through targeted questions — uncovers unknown unknowns in specs | jellydn/ | 123 | — | ~2.1k | Automated safety check: Pass | MIT | yesterday |
| 31 | 31.TDD Guide through the Red-Green-Refactor cycle for test-driven development | jellydn/ | 123 | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 32 | 32.Tmux Control tmux sessions remotely — send commands, capture output, manage panes | jellydn/ | 123 | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 33 | 33.Pickup Resume work from previous handoff sessions stored in .planning/handoffs/ | jellydn/ | 123 | — | ~248 | Automated safety check: Pass | MIT | yesterday |
Questions, answered from the data.
What is the best skill in jellydn/my-ai-tools?
Babysit PR from jellydn/my-ai-tools ranks first of the 33 skills in jellydn/my-ai-tools listed here, with the highest score: its repository has 123 GitHub stars, its SKILL.md loads about 4.1k tokens and it passes the automated safety check with no findings. Next come Visual PR and Qmd Knowledge.
Are the skills in jellydn/my-ai-tools official?
None yet. All 33 skills in jellydn/my-ai-tools listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from jellydn/my-ai-tools?
Run npx skills add jellydn/my-ai-tools in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.