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Skills/coding-agents/Awesome Skills

Awesome Skills

REVIEW · 67
Community indexed

A curated system of production-ready Claude Code skills with quantitative evaluation reports, golden test fixtures, and engineering workflow integration.

Downloads0
Stars26
Version1.0.0
Quality71/100 · Strong
Trust67/100 · Sandbox only
Audit80/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Agent fit

Claude Code + Cursor + CLI

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add johnqtcg/awesome-skills

Maintenance

fresh

2d since push

Risk

Needs review

Dependency or permission surface needs review

GitHub quality

26

71/100 quality · 75/100 trust

Coverage tags

CodingCoding agentscoding-agentsclaude-codeagent-skills

Review notes

Dependency or permission surface needs review · Permission surface may require sandboxing

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Strong
71

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
67

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
80

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

PythonCodexClaude CodeCursorOpenAgentSkill CLI

Stars

26 GitHub stars

Repo activity

26 stars, 5 forks

Maintenance

2d since push

License

MIT

Install

npx skills add johnqtcg/awesome-skills

Install safety

standard package or runtime install path

Permission surface

shell or command execution, network or browser access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: shell or command execution, network or browser access
  • GitHub adoption: 26 GitHub stars

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Coding agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect source files

Suited agents

PythonCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add johnqtcg/awesome-skills
Policy
review
Human review
yes

Trust and risk

Trust
67/100
Audit
80/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add johnqtcg/awesome-skills
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • No OpenAgentSkill engagement data yet
  • High-risk permission hints: Shell or command execution

Alternative

Grill With Docs

164.7K stars

npx skills add mattpocock/skills --skill grill-with-docs

Alternative

Code Review

168.6K stars

npx skills add mattpocock/skills --skill code-review

Alternative

To Spec

164.7K stars

npx skills add mattpocock/skills --skill to-spec

Alternative

To Tickets

176.7K stars

npx skills add mattpocock/skills --skill to-tickets

Agent safety v2

48/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

medium

Database access

Skill may inspect schemas, query databases, or work with persistent stores.

  • High-risk permission hints: Shell or command execution
  • Dependency or permission surface needs review

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add johnqtcg/awesome-skills

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Resolve JSON

/api/agent/resolve?task=Use%20Awesome%20Skills%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Awesome%20Skills%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/johnqtcg-awesome-skills/install

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Awesome Skills in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Awesome%20Skills%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/johnqtcg-awesome-skills/install
Install command: npx skills add johnqtcg/awesome-skills
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Install handoff

/api/skills/johnqtcg-awesome-skills/install

LLM text format

/api/skills/johnqtcg-awesome-skills/install?format=text

Find alternatives

/api/skills/search?q=Awesome%20Skills&limit=3

Agent prompt

Use Awesome Skills for this task. Review https://www.openagentskill.com/api/skills/johnqtcg-awesome-skills/install, then install with: npx skills add johnqtcg/awesome-skills

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Manifest

/api/registry/manifest/johnqtcg-awesome-skills

LLM text

/api/registry/manifest/johnqtcg-awesome-skills?format=text

Install alias

/api/registry/install/johnqtcg-awesome-skills

Recommend

/api/registry/recommend?task=Use%20Awesome%20Skills%20in%20an%20agent%20workflow&limit=3

Agent fit

70/100

Coding agents

Use-case tags

Coding agentsResearch agentsGitHub automation

Platforms

Python, Claude Code, Cursor

Audit report

Needs review · 80/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Coding agents

Prototype with this skill first; keep a fallback candidate ready.

70
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Coding agents

Trust label

Prototype first

Install path

Command ready

Use when

  • Coding agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 71/100 quality profile

Review first

  • Low GitHub adoption signal
  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Coding agents task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

67
Trust score

GitHub adoption

CHECK

26 GitHub stars

Stars/forks activity

CHECK

26 stars, 5 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

2d since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: shell or command execution, network or browser access
  • GitHub adoption: 26 GitHub stars
  • Stars/forks activity: 26 stars, 5 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, network or browser surface
  • Permission surface: shell or command execution, network or browser access
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

71
GitHub stars
26
Freshness
2d ago
Install ready
Yes
License
MIT
Check before install: Low GitHub adoption signal

Workflow fit

Use this skill in these scenarios

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Investigate faster

Research agents

I need my agent to research a topic, compare sources, and produce a concise report.

Manage repositories

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Stack fit

Add it to a complete workflow

Inspect, patch, and verify code

Coding review agent

A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Find, compare, and synthesize

Research report agent

A stack for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.

Turn skills into distribution

Content growth agent

A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.

Alternative shortlist

Compare before you install

Similar skills in this category, ranked with the same readiness and quality signals.

Compare all

Grill With Docs

A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.

Adopt
Ready100
Quality100
Stars164.7K

Code Review

Review a branch or diff against repository standards and the originating spec in two independent analysis passes.

Adopt
Ready100
Quality100
Stars168.6K

To Spec

Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.

Adopt
Ready100
Quality100
Stars164.7K

To Tickets

Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.

Adopt
Ready100
Quality100
Stars176.7K

Overview

# awesome-skills: Production-Ready Claude Code Skills

> Production-ready **Claude Code Skills** with design rationale, quantitative evaluation, golden test fixtures, and end-to-end engineering workflow integration.

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE) [![Stars](https://img.shields.io/github/stars/johnqtcg/awesome-skills?style=social)](https://github.com/johnqtcg/awesome-skills) [![中文](https://img.shields.io/badge/文档-中文版-blue)](README.zh-CN.md)

A curated system for **AI skill engineering** — not just a prompt collection. Built for Claude Code and applicable to any AI coding assistant, this project covers the full loop from reusable skill methodology to skill-specific design rationale to quantitative evaluation and real software engineering workflow integration.

- **51** installable Claude Code skills spanning Go, testing, security, CI/CD, database, cache, infrastructure, research, docs, planning, and multi-agent review/analysis - **16** of those are multi-agent components: a 9-part Go review system (`go-review-lead` + 8 vertical reviewers) and a 7-part US-equity analysis system (`stock-analysis-lead` + 6 vertical reviewers) - **24** skills ship paired design rationale (EN + ZH) → **48** rationale docs; **13** have complete five-layer coverage (rationale + skill + evaluation + real output example) - **64** paired evaluation reports (EN + ZH) with quantitative metrics - **376** golden test fixtures + **93** Python test files for deterministic regression - Testing skills: `unit-test` · `tdd-workflow` · `api-integration-test` · `e2e-test` · `fuzzing-test` - Delivery pipeline: `go-makefile-writer` → `git-commit` → `create-pr` → `go-ci-workflow` → `go-code-reviewer` → `security-review`

<a id="en-quickstart"></a> ## Quick Start

### Option 1 — Install with the skills CLI (recommended)

Works with Claude Code, Cursor, GitHub Copilot, and 15+ other agents:

```bash # Install a single skill globally npx skills add johnqtcg/awesom

Platform Compatibility

pythonFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
7/19/2026
Published
7/19/2026

Frameworks & Tools

Python

Decision snapshot

Fallback candidate

70
Ready
Prototype
Stage

recent repository activity

Audit snapshot

Install review

Install and adoption review

80
Needs review
Security
80/100
Maintenance
100/100
Install
92/100
Open full auditOpen eval report

Agent-proven evidence

Agent Proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
—
Recent failure
—
Outcomes
0
Output quality
—
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for Awesome Skills, ready for a manual X post.

Curator note
Finance agents don't need louder takes. They need sources, data, and a repeatable research path.

Awesome Skills helps turn market noise into source-backed analysis an agent can reuse.

26 stars

https://www.openagentskill.com/skills/johnqtcg-awesome-skills?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for Awesome Skills:
https://www.openagentskill.com/skills/johnqtcg-awesome-skills?ref=x

Install: npx skills add johnqtcg/awesome-skills
Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
johnqtcg
Source
johnqtcg/awesome-skills
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to johnqtcg but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/johnqtcg-awesome-skills?metric=listed&label=Listed)](https://www.openagentskill.com/skills/johnqtcg-awesome-skills)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/johnqtcg-awesome-skills?metric=trust&label=Trust)](https://www.openagentskill.com/skills/johnqtcg-awesome-skills)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/johnqtcg-awesome-skills?metric=audit&label=Audit)](https://www.openagentskill.com/skills/johnqtcg-awesome-skills/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/johnqtcg-awesome-skills?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/johnqtcg-awesome-skills)
Preview badge Open audit Creator Kit

Author

J

johnqtcg

@johnqtcg

Tags

claude-codeagent-skillsmulti-agentevaluationsoftware-engineering

Platform Fit

Claude CodeCursor

Health Signals

GitHub stars
26
Quality score
43/100
Last GitHub push
Jul 19, 2026
Framework hints
1
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

Sandbox only

67
  • GitHub adoption26 GitHub starsCHECK
  • Stars/forks activity26 stars, 5 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance2d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surface, network or browser surfaceCHECK

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Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.

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Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.

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OpenAgentSkill

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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