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I built 25 executable skills for AI coding agents �“ all open source

A developer released 25 open-source executable skills for AI coding agents that fix common problems like token waste, bug multiplication, and context loss. The skills, available for Claude, Cursor, OpenAI Codex, and Hermes Agent, provide step-by-step workflows for systematic debugging, token efficiency, and self-regulation.

read9 min views1 publishedJun 29, 2026
I built 25 executable skills for AI coding agents �“ all open source
Image: source

Your AI coding agent keeps doing dumb things? Here's the fix.

#1 Agent does/clear

and forgets everything — you re-explain from scratch**#2** Agent sees "fix this bug" and starts changing code — one fix, three new bugs**#3** Token burns fast — $5 gone before lunch, and you don't know why**#4** Context fills up and agent starts forgetting what you said 5 minutes ago**#5** Agent pushes code changes without asking — you only find out when it breaks

This pack of 25 executable skills fixes all of that. Not vague advice. Step-by-step workflows your agent loads and follows.

Watch the full 30-second quick install — click to play!

SVG animation — works everywhere, no time, scales perfectly.

cp -r skills/* ~/.claude/skills/   # Claude Code
cp -r skills/* ~/.cursor/skills/   # Cursor
cp -r skills/* ~/.codex/skills/    # OpenAI Codex

Then tell your agent: "Use the systematic-debugging skill to help me with this error."

AI coding agents are powerful, but they have a fatal flaw: they don't know how to work safely yet. Without guidance, an agent will:

  • Burn through your token budget in minutes

  • Fix one bug and introduce three more

  • Push code changes without asking

  • Forget context after every /clear

  • Loop forever on the same error

These 25 skills are executable workflows that teach your agent how to behave — systematic debugging, token-aware planning, self-regulation, and safety nets. They're not vague advice; they're step-by-step instructions your agent follows automatically.

Feature Hermes Core Skills LangChain Agents Manual Prompting
Drop-in ready ✅ Copy and use ❌ Requires code integration ❌ Write prompts yourself
Executable workflows ✅ Agent follows step by step ❌ Just a framework ❌ No structure
Cross-platform ✅ Claude / Codex / Cursor / Hermes ❌ Python only ✅ Any agent
Token-aware ✅ Built-in efficiency rules ❌ No token optimization ❌ No token optimization
Self-regulation ✅ Brake system, stall detection ❌ Not available ❌ Not available
Open source ✅ MIT ✅ MIT ✅ Free

Hermes Core Skills is not a framework you integrate — it's a workflow layer your agent loads. It works alongside any agent and any framework.

You: "Use the systematic-debugging skill on this error: TypeError: Cannot read ..."
Agent: [Loads the 4-stage workflow]
  1. Report — captures the full error context
  2. Context — reads affected files
  3. Hypothesis — identifies root cause
  4. Fix — only applies change after root cause is confirmed
Result: One fix, zero new bugs.
You: "Follow the token-efficiency skill for this task."
Agent: [Loads token-saving rules]
  - Compresses long context before proceeding
  - Delegates heavy research to sub-agents
  - Avoids wasteful pattern loops
Result: Uses 40-60% fewer tokens.
You: "Run subagent-driven-development to implement the auth system."
Agent: [Splits into parallel sub-agents]
  - Sub-agent 1: Login page
  - Sub-agent 2: JWT middleware
  - Sub-agent 3: Database schema
  - Review pass: merges all, fixes conflicts
Result: Features built in parallel, completed faster.
Skill One-liner Problem it solves
systematic-debugging
No root cause, no fix Agent randomly patches bugs, making things worse
self-regulation-brake-system
Force stop after 3 failures Agent looping forever, burning your budget
writing-plans
Write a plan before touching code Agent builds the wrong thing, needs redo
subagent-driven-development
Split into subagents, review after Complex tasks overwhelm a single agent's context
token-efficiency
Every token counts End-of-month surprise bills
checkpoints-and-rewind
Auto-backup before any change Agent destroys a file, can't recover
Skill Role Pain Point Highlight
self-regulation-brake-system
Agent seatbelt Agent crashes and keeps burning tokens when you're away 3-fail stop, 5-min stall report, no bypass allowed
systematic-debugging
Your Sherlock Holmes Agent randomly patches bugs, one fix creates three more 4-stage: Report → Context → Hypothesis → Fix. Iron rule: no root cause, no fix
writing-plans
Your project manager Agent builds in wrong direction, discovers at the end Bite-size tasks, exact file paths, code + test per task
spec-driven-development
Your requirements doctor Unclear requirements, builds the wrong thing Write spec first, no coding without understanding
test-driven-development
Your quality gate Agent says "done" but never actually tested RED-GREEN-REFACTOR, no tests = not done
subagent-driven-development
Your team lead Complex task doesn't fit in one agent context Split tasks → fresh subagent each → review → merge
requesting-code-review
Your code reviewer Agent commits bad code, you don't know Security scan + quality gate + independent reviewer
security-hardening-checklist
Your security advisor Agent doesn't know secure coding, leaves vulnerabilities Input, auth, storage, third-party, item by item
think-tool
Your rational voice Agent makes impulsive decisions without thinking first Pros cons + trade-offs + risk analysis framework
token-efficiency
Your CFO Token burn rate is scary, don't know how to save Context compression, delegate strategy, waste pattern avoidance
checkpoints-and-rewind
Your undo button Agent corrupts a file, can't roll back Auto-backup, snapshot, rollback before any change
context-aware-task-decomposition
Your context doctor Context full, agent starts forgetting Auto-decompose tasks, never hit context limit
context-compaction-verification-and-recovery
Your memory detective After compaction, agent doesn't remember what it did Verify tool commands actually executed
Skill Role Pain Point Highlight
agent-capability-comparison-methodology
Your agent buyer Don't know which agent is good, marketing lies Source code + benchmark + hands-on, three-layer verification
open-source-adaptation-pattern
Your technical due diligence Install an OSS project, find out it doesn't fit License + maintenance + community + actual need, four-dimension eval
multi-agent-browser-text-extraction
Your research team JS-heavy sites, browser itself can't extract Multiple subagents extract in parallel, merge results
skill-slimming-strategy
Your diet plan SKILL.md too long, agent loads it and half context is gone Keep core workflow, move details to references/
batch-skill-description-standardization
Your admin assistant Dozens of skills with inconsistent descriptions Fix 100+ at once
hermes-improvement-multiphase-plan
Your CTO Want to improve agent but don't know where to start IDE docs → nightly release → plugin marketplace → desktop app
Skill Role Pain Point Highlight
cross-session-execution-framework
Your project continuity Next session agent doesn't remember what it did File-based state persistence, recover without memory loss
plan
Your brake pedal User says "plan it first" but agent starts coding immediately Pure planning mode, output checklist for approval
multi-role-synthesis-framework
Your board of directors Single-role decisions have blind spots Multiple roles each give advice → integrated verdict
Skill Role Pain Point Highlight
openclaw-hermes-arch
Your architecture diagram Don't understand how agent and gateway divide work Clear responsibility docs + failover mechanism
hermes-agent
Your Hermes setup guide New to Hermes, don't know how to set up Complete zero-to-running guide
autonomous-work-signaling
Your team coordinator Multiple autonomous agents don't know what each other is doing Cross-session work status synchronization
Who Problem Skill Pack Solution
Solo developer
Agent burns tokens, context gets lost token-efficiency + context-aware-task-decomposition
Startup CTO
Junior devs using AI produce inconsistent code requesting-code-review + spec-driven-development
Open source maintainer
Need help but can't trust AI with security security-hardening-checklist + systematic-debugging
Agency owner
Multiple agents running, no coordination autonomous-work-signaling + cross-session-execution-framework
AI researcher
Evaluating which agent to use for a project agent-capability-comparison-methodology + open-source-adaptation-pattern
Category Platform
AI Code Assistants
Claude Code, OpenAI Codex CLI, Cursor, Hermes Agent, GitHub Copilot
Agent Frameworks
LangChain, CrewAI, AutoGen, Any MCP-compatible agent
MCP Clients
Claude Desktop, VS Code via Continue/Cline, JetBrains, any MCP host

New to AI coding agents? Here's everything you need to know.

What is an AI coding agent? A tool like Claude Code or Cursor that can write, edit, and debug code for you in your terminal or editor. - What's a "skill"? A skill is a Markdown file that teaches your agenthowto do something properly — like a recipe for your AI chef. - How do I use these skills?- Install with one command ( cp -r skills/* ~/.claude/skills/

) - Tell your agent: "Use the [skill name] skill" - Your agent follows the instructions automatically

  • Install with one command (

**Which skill should I start with?**First:systematic-debugging

— the most useful for daily codingSecond:token-efficiency

— saves you money immediatelyThird:checkpoints-and-rewind

— safety net, never lose work

Still confused? Open a discussion — we'll help you get started.

Help translate this README! Click a badge to contribute:

Currently English only. Translations welcome — submit a discussion or PR!

  • v1.0.0 — 25 core skills released (Jun 2026)
  • v1.1.0 — Skill index ( index.json

) for agent discovery - v1.2.0 — Interactive playground on GitHub Pages

  • v2.0.0 — Community-contributed skills + skill templates
  • Add mappings to common frameworks (pain point categories)

"Finally — skills that actually tell the agent what to do instead of just giving it vague instructions."—Early adopter feedback

"The self-regulation-brake-system alone saved me from a $50 runaway agent bill."—Solo developer, Jun 2026

"Drop-in ready and zero config. This is what agent tooling should be."—Open source contributor

Have feedback? Open a discussion and share your experience.

...

Want to feature this project? Let us know.

We'd love your help! Here's how to get started:

Good first issues (no coding needed):

  • 📝 Review a skill— Try one and open an issue with your feedback - 🌐 Translate README— Pick your language and submit a translation - 🐛 Report a bug— If a skill doesn't work with your agent, let us know - ✨ Suggest new skills— Open a discussion with your pain point

Code contributions:

labels - Fork the repo and create a feature branch

  • Make your changes and submit a PR
  • Your PR will be reviewed within 48 hours

All contributors are expected to follow our Code of Conduct. See the Contributing Guide for details.

If you use this project in your work:

@software{hermes_core_skills,
  author = {Lam, Chris},
  title = {Hermes Core Skills},
  year = {2026},
  url = {https://github.com/chrislamlayer1-gif/hermes-core-skills},
  note = {25 executable AI agent skills for debugging, planning, token efficiency, and security. MIT licensed.}
}

Found a security vulnerability? Please review our Security Policy for responsible disclosure.

MIT — Use freely, contribute back when you can.

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