Claude-cod-top-2026 / agents
CLAUDE.md9 starsChanged 6 months agoMITView on GitHub
Required frontmatter fields: Optional fields: maxTurns, isolation, effort, permissionMode, whenToUse - whenToUse — One-sentence trigger condition — used by dispatcher and skill-scout for agent routing.
In this repository164 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .codex/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- claude-md/CLAUDE.mdCLAUDE.md
- hooks/CLAUDE.mdCLAUDE.md
- insight-architectSkill
- agent-teamsSkill
- brainstormingSkill
- claim-decomposerSkill
- context-engineeringSkill
- dispatcherSkill
- git-worktreesSkill
- hd-mavp-routerSkill
- mentor-modeSkill
- reference-registrySkill
- routing-policySkill
- skill-self-updateSkill
- tdd-workflowSkill
- ab-testSkill
- academic-researchSkill
- advanced-methodology-extensionsSkill
- agent-governanceSkill
- ai-hyp-gateSkill
- algorithm-designSkill
- analystSkill
- archcode-genomicsSkill
- arm-cortex-microcontrollersSkill
- atomizeSkill
- backward-traceabilitySkill
- boyko-constraint-engineSkill
- boyko-epistemic-auditSkill
- boyko-goal-expansion-100Skill
- boyko-knowledge-architectureSkill
- boyko-leverage-mapSkill
- boyko-methodSkill
- boyko-preflightSkill
- boyko-project-radarSkill
- boyko-rippleSkill
- boyko-scientific-consortiumSkill
- boyko-specialistSkill
- boyko-toolcheckSkill
- boyko-triangle-auditSkill
- boyko-why-ladderSkill
- browser-actSkill
- build-autoSkill
- c4-architectureSkill
- career-prepSkill
- changelog-genSkill
- citation-managementSkill
- code-debuggingSkill
- code-materialitySkill
- codex-skepticSkill
- codex-solverSkill
- codex-tracySkill
- combinatorial-creativitySkill
- common-groundSkill
- conductorSkill
- consilienceSkill
- construct-measurement-gateSkill
- convertSkill
- The first 60 shown.
The file
We split this CLAUDE.md into the rules it gives an agent
4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 20
Read .claude/memory/activeContext.md before taking any action.
- Distinctive: line 22
Do NOT write to memory files directly — return results to orchestrator.
- Distinctive: line 25
Only list tools the agent actually needs.
- Distinctive: line 39
Add context-loading step (read activeContext.md)
≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Agents — Local Rules
Structure
Each agent is a single markdown file with YAML frontmatter + instruction body.
Required frontmatter fields:
---
name: <agent-name>
description: <one-line — used for routing decisions>
tools: Read, Edit, Write, Bash, Glob # list only what the agent needs
model: sonnet | opus | haiku
---Optional fields: maxTurns, isolation, effort, permissionMode, whenToUse
whenToUse— One-sentence trigger condition — used by dispatcher and skill-scout for agent routing.
Context Protocol (every agent must do this)
Read .claude/memory/activeContext.md before taking any action.
Return results tagged with the context item they address.
Do NOT write to memory files directly — return results to orchestrator.
Tool Scope — Minimum Viable
Only list tools the agent actually needs.
- Read-only agents:
Read, Glob, Grep - Builder agents:
Read, Edit, Write, Bash, Glob - Research agents:
Read, Glob, Grep, WebSearch, WebFetch
Teams (in teams/)
Teams run 2+ agents in parallel. Use for:
review-squad— reviewer + sec-auditor simultaneouslybuild-squad— builder + tester simultaneouslyresearch-squad— explorer + verifier simultaneously
Adding a New Agent
- Copy closest existing agent as template
- Set minimum tool scope
- Add context-loading step (read activeContext.md)
- Register in README agents table
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

