claude-code-best-practice is a repository of agents, commands, skills, hooks, plugins, and configuration guidance for Claude Code. It helps developers organize repeatable workflows and apply agentic engineering practices, including in monorepos. The catalogue entries are its reusable Claude Code workflow components.
Borrowing it
Nothing to install: this file belongs to shanraisshan/claude-code-best-practice. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/shanraisshan/claude-code-best-practice/main/.claude/commands/workflows/skill-collections.mdgit clone --depth 1 https://github.com/shanraisshan/claude-code-best-practiceWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/shanraisshan/claude-code-best-practice/skill-collections)<a href="https://agentmods.dev/commands/shanraisshan/claude-code-best-practice/skill-collections"><img src="https://agentmods.dev/badge/commands/shanraisshan/claude-code-best-practice/skill-collections.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00018 | $0.01895 |
| Opus 5 | $0.00009 | $0.00948 |
| Sonnet 5 | $0.00004 | $0.00379 |
| Haiku 4.5 | $0.00002 | $0.00189 |
Grade A, and why
skill-collections scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- skill-collections — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workflow — Skill Collections
Update the SKILL COLLECTIONS table in README.md by researching 5 repos in parallel. Launch a research agent, merge results, present changes, update table if approved.
The 5 Repos
| # | Repo | Owner |
|---|---|---|
| 1 | anthropics/skills |
Anthropic (official) |
| 2 | wshobson/agents |
William Shobson |
| 3 | mattpocock/skills |
Matt Pocock |
| 4 | K-Dense-AI/scientific-agent-skills |
K-Dense-AI |
| 5 | VoltAgent/awesome-agent-skills |
VoltAgent (curated awesome-list) |
Table Format
The README table has these columns:
| Name | ★ | <img src="!/tags/s.svg" height="14"> |
- Name:
[Short Name](github-url)— use repo's short name (e.g.,mattpocock/skills, or justskillsif owner is the project), not the full owner/repo unless ambiguous - ★: Star count rounded to
k(e.g., 125k, 35k, 1.2k). Under 1000 show exact number - Skill count: Just the number. For awesome-lists where skills are links not files, use
N+ (curated list)form
Sort order: Sorted by stars descending (highest first).
Phase 0: Read Current State
Read these files:
README.md— the## 🧰 SKILL COLLECTIONStable (note current stars and skill counts)changelog/skill-collections/changelog.md— previous changelog entries (may not exist yet)
Phase 1: Launch Research Agent
Immediately spawn one development-workflows-research-agent covering all 5 repos. (The existing research agent is generic — it counts skills/stars/etc. for any repo.)
Research these 5 Claude Code skill-collection repositories. Each is primarily a library of
SKILL.mdfiles, NOT a full workflow methodology.Repo 1: anthropics/skills (https://github.com/anthropics/skills) — official Anthropic skills repo Repo 2: wshobson/agents (https://github.com/wshobson/agents) — plugin-scoped skills (skills nested under domain plugins) Repo 3: mattpocock/skills (https://github.com/mattpocock/skills) — TypeScript-focused Repo 4: K-Dense-AI/scientific-agent-skills (https://github.com/K-Dense-AI/scientific-agent-skills) — science/research vertical Repo 5: VoltAgent/awesome-agent-skills (https://github.com/VoltAgent/awesome-agent-skills) — curated awesome-list (links to external skills, not SKILL.md files in repo)
For EACH repo, return:
- Stars — use GitHub API
https://api.github.com/repos/{owner}/{repo}, readstargazers_count. Round tok.- Skill count — count
SKILL.mdfiles in the repo via the GitHub git tree API:https://api.github.com/repos/{owner}/{repo}/git/trees/HEAD?recursive=1and grep paths forSKILL.md.
- For
wshobson/agents: skills are nested insideplugins/<domain>/skills/— count all SKILL.md across all plugins.- For
VoltAgent/awesome-agent-skills: count the listed skills in README.md (e.g., bullets / table rows). Mark explicitly as "curated list, not files".- For
K-Dense-AI/scientific-agent-skills: subdirectories underskills/may use SKILL.md or.md; count whichever the repo uses, and report which.- For
anthropics/skills: skills live in subdirectories underskills/withSKILL.mdinside.- For
mattpocock/skills: include only active skills, not deprecated ones (note both numbers if obvious).- Notable changes — any significant additions or removals in last 30 days?
Return structured report per repo:
REPO: anthropics/skills STARS: <number>k (<exact>) SKILLS: <count> (<file pattern used, e.g., "SKILL.md files via git tree">) NOTES: <anything unusual — flat .md vs SKILL.md, deprecated skills, language variants, curated-list disclaimer> CHANGES: <changes or "No significant changes"> CONFIDENCE: <0-1>
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 165 lines · 18 tokens per session scan A 5b9d778644f0
skill-collections is a command published in the GitHub repository shanraisshan/claude-code-best-practice (65,734 stars, last pushed today), licensed MIT. It adds 18 tokens to every session and 1,895 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
README
Git workflow and quality assurance commands for the claude-skills repository.
plan-feature
Plan a feature from BRD-lite brief or clear intent into PRD (What), decisions, implementation plan, and task slices.
retro-learn
Convert delivery findings into skill, eval, workflow, and documentation improvements.
version
Display current guide and Claude Code versions.
save
Save a key-value memory entry to persistent storage.
medical-necessity
Generate medical necessity letters citing chiropractic clinical guidelines for insurance authorization and appeals.