Repository
coleam00/skills agent skills
- skills
- 34
- GitHub stars
- 676
GitHub description: “The agent skills I actually use to build software with coding agents. The PIV loop, planning, worktrees, and the meta-skills for building your own AI Layer.”
- Stars
- 676 (184 forks)
- Licence
- MIT
- Last push
- Oct 2026
- Created
- Aug 2026
Install all skills
npx skills add coleam00/skillsAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in coleam00/skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Measure whether a repository's AI instructions still earn their place, by running the same real task many times with the layer intact and with it stripped, then grading every rule against what… | coleam00/ | 676 | — | ~1.9k | Automated safety check: Pass | MIT | 2 days ago |
| 2 | Take a PRD and build a dark factory around it - a repository that takes work in as an issue and ships validated code out with nobody at the keyboard - one component at a time, into the user's actual… | coleam00/ | 676 | — | ~12k | Automated safety check: Pass | MIT | 2 days ago |
| 3 | Take real control of the desktop - list and focus windows, type, paste, click, scroll, and screenshot - on Windows, macOS or Linux, and drive other coding-agent sessions running in terminals. | coleam00/ | 676 | — | ~5.4k | Automated safety check: Pass | MIT | 2 days ago |
| 4 | Audit any second brain, notes folder, or agent memory for facts that have quietly stopped being true, then fix the worst one so it stops recurring. | coleam00/ | 676 | — | ~4.6k | Automated safety check: Pass | MIT | 2 days ago |
| 5 | Build a personal signal engine from scratch - a system that reads every source someone cares about each day (changelogs and release notes, communities, feeds, videos, papers), makes a quick decision… | coleam00/ | 676 | — | ~2.9k | Automated safety check: Pass | MIT | 2 days ago |
| 6 | Create one or more git worktrees for parallel development, each on its own branch with gitignored config copied in, dependencies installed, and a health check, by fanning out a setup subagent per… | coleam00/ | 676 | — | ~958 | Automated safety check: Pass | MIT | 2 days ago |
| 7 | Author a working Claude Code hook from a plain-English description of what it should guarantee or do. | coleam00/ | 676 | — | ~3.6k | Automated safety check: Notes | MIT | 2 days ago |
| 8 | Executes an implementation plan task-by-task with validation at every step. | coleam00/ | 676 | — | ~1k | Automated safety check: Pass | MIT | 2 days ago |
| 9 | Investigate a GitHub issue — fan out parallel exploration, find the root cause (5 Whys, evidence-backed), and write a reviewable RCA artifact (then post a summary to the issue). | coleam00/ | 676 | — | ~1.8k | Automated safety check: Pass | MIT | 2 days ago |
| 10 | Creates a comprehensive, context-rich implementation plan through deep codebase analysis, a short clarifying interview, and external research. | coleam00/ | 676 | — | ~4.9k | Automated safety check: Pass | MIT | 2 days ago |
| 11 | Sets up and starts the AI Tutor project locally (environment file, dependencies, database, migrations, and dev server). | coleam00/ | 676 | — | ~468 | Automated safety check: Notes | MIT | 2 days ago |
| 12 | Author a new Claude Code skill the house way, or refactor a fat skill into a lean SKILL.md + references/. | coleam00/ | 676 | — | ~1.6k | Automated safety check: Pass | MIT | 2 days ago |
| 13 | Scan how you actually work with your coding agent and surface what to encode next. | coleam00/ | 676 | — | ~2.4k | Automated safety check: Pass | MIT | 2 days ago |
| 14 | Push the current feature branch and open a pull request, ready for review. | coleam00/ | 676 | — | ~968 | Automated safety check: Pass | MIT | 2 days ago |
| 15 | Implement the fix for a GitHub issue from its RCA artifact (created by piv-investigate-issue) — drift-check the plan, branch, implement, add regression tests, and validate. | coleam00/ | 676 | — | ~1.7k | Automated safety check: Pass | MIT | 2 days ago |
| 16 | Performs a technical code review of recently changed files for bugs, security issues, and standards compliance, then writes a report. | coleam00/ | 676 | — | ~699 | Automated safety check: Pass | MIT | 2 days ago |
| 17 | Full pull-request review — fetch the PR, run the project's validation, review the diff with fresh eyes (dispatching the code-reviewer agent), categorize issues by severity, post the review to GitHub… | coleam00/ | 676 | — | ~1.2k | Automated safety check: Pass | MIT | 2 days ago |
| 18 | Autonomously develops a complete feature from priming through planning, execution, and commit by chaining the four core PIV-loop skills. | coleam00/ | 676 | — | ~518 | Automated safety check: Pass | MIT | 2 days ago |
| 19 | Slice an epic (with its architecture decisions) into PIV-sized tickets with a dependency graph, then create them in your tracker (Jira via the Atlassian MCP, or GitHub/Linear/local). | coleam00/ | 676 | — | ~1.5k | Automated safety check: Pass | MIT | 2 days ago |
| 20 | 20.Piv Validate Runs this project's full validation suite — tests, type checks, and linting across every part of the stack — then reports overall health. | coleam00/ | 676 | — | ~781 | Automated safety check: Pass | MIT | 2 days ago |
| 21 | Interactively explore HOW to approach an intent (a PRD, epic, brief, or free-form idea) and decide the high-level architecture — the approach, stack, libraries, data shape, and risks the intent left… | coleam00/ | 676 | — | ~2.4k | Automated safety check: Pass | MIT | 2 days ago |
| 22 | Interactive, problem-first PRD generator — interviews the user to surface the thesis (the problem, and WHY build it) and a falsifiable hypothesis, then writes a focused PRODUCT-level PRD (problem ·… | coleam00/ | 676 | — | ~2.1k | Automated safety check: Pass | MIT | 2 days ago |
| 23 | Primes the agent with deep codebase understanding by analyzing structure, documentation, and key files. | coleam00/ | 676 | — | ~887 | Automated safety check: Pass | MIT | 2 days ago |
| 24 | Check whether your rules file (CLAUDE.md or AGENTS.md) still matches the codebase after recent changes — run before a merge, or fold into your code-review pass. | coleam00/ | 676 | — | ~1k | Automated safety check: Pass | MIT | 2 days ago |
| 25 | Set up your project's global rules, a lean and well-structured root CLAUDE.md (plus a starter .claude/), following the course methodology. | coleam00/ | 676 | — | ~3.2k | Automated safety check: Pass | MIT | 2 days ago |
| 26 | Work through the findings from a second-brain audit in batches, correcting stale facts and converting locations onto the state/event schema, driven by the markdown file of findings the audit left… | coleam00/ | 676 | — | ~3.4k | Automated safety check: Pass | MIT | 2 days ago |
| 27 | Performs a meta-level review of how well an implementation followed its plan, classifying divergences and recommending AI-Layer improvements. | coleam00/ | 676 | — | ~1.4k | Automated safety check: Pass | MIT | 2 days ago |
| 28 | Integrate any number of feature branches from parallel worktrees through one safe integration branch, validating after each merge and running the project's full check suite before touching the main… | coleam00/ | 676 | — | ~931 | Automated safety check: Pass | MIT | 2 days ago |
| 29 | 29.Piv Commit Creates a new git commit for all uncommitted changes with an atomic, conventionally-tagged message. | coleam00/ | 676 | — | ~412 | Automated safety check: Pass | MIT | 2 days ago |
| 30 | Triage code-review findings (manual or AI), fix the ones you choose one at a time with tests, defer/log the rest, then validate — and if the work is on a PR, commit and push so the PR reflects the… | coleam00/ | 676 | — | ~572 | Automated safety check: Pass | MIT | 2 days ago |
| 31 | Decomposes a PRD into well-formed, engineer-ready tickets — Jira issues or GitHub issues. | coleam00/ | 676 | — | ~922 | Automated safety check: Pass | MIT | 2 days ago |
| 32 | Primes the agent with focused understanding of the backend portion of the codebase — API routes, services, data models, and database layer — without loading unrelated frontend code. | coleam00/ | 676 | — | ~1.1k | Automated safety check: Pass | MIT | 2 days ago |
| 33 | Primes the agent with focused understanding of the frontend portion of the codebase — components, routing, state management, and styling — without loading unrelated backend code. | coleam00/ | 676 | — | ~1k | Automated safety check: Pass | MIT | 2 days ago |
| 34 | Generates a structured implementation report reflecting on a just-completed feature — what was done, divergences, challenges. | coleam00/ | 676 | — | ~452 | Automated safety check: Pass | MIT | 2 days ago |
Questions, answered from the data.
What is the best skill in coleam00/skills?
Ablate AI Layer from coleam00/skills ranks first of the 34 skills in coleam00/skills listed here, with the highest score: its repository has 676 GitHub stars, its SKILL.md loads about 1.9k tokens and it passes the automated safety check with no findings. Next come Build Dark Factory and Drive Screen.
Are the skills in coleam00/skills official?
None yet. All 34 skills in coleam00/skills 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 coleam00/skills?
Run npx skills add coleam00/skills 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.