Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
Pre-indexed code knowledge graph, auto syncs on code changes, for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
npx @colbymchenry/codegraphA hand-picked collection of the finest of resources for the most awesome of agents, Claude Code, the undisputed champion of coding companions, from the unstoppable team at Anthropic PBC. A delectable showcase of top tier skills, ambidextrous agents, scintillating status lines, top notch developer tooling, and also we have plugins
These intent pages connect this repository to workflow-first and comparison-first discovery routes.
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Option A — npx install (recommended):
npx skills add uditgoenka/autoresearch
All 14 commands are available after restarting Claude Code.
Option B — Plugin install:
/plugin marketplace add uditgoenka/autoresearch
/plugin install autoresearch@autoresearch
Note: Start a new Claude Code session after installing. Reference files aren't resolvable in the same session where installation happened — this is a Claude Code platform limitation.
Updating (no reinstall needed):
/plugin update autoresearch
Run /reload-plugins to activate. No need to uninstall or re-clone.
Option C — Manual copy:
git clone https://github.com/uditgoenka/autoresearch.git
# Copy skill + subcommands to your project
cp -r autoresearch/.claude/skills/autoresearch .claude/skills/autoresearch
cp -r autoresearch/.claude/commands/autoresearch .claude/commands/autoresearch
cp autoresearch/.claude/commands/autoresearch.md .claude/commands/autoresearch.md
Or install globally:
cp -r autoresearch/.claude/skills/autoresearch ~/.claude/skills/autoresearch
cp -r autoresearch/.claude/commands/autoresearch ~/.claude/commands/autoresearch
cp autoresearch/.claude/commands/autoresearch.md ~/.claude/commands/autoresearch.md
Option D — Guided installer:
git clone https://github.com/uditgoenka/autoresearch.git
cd autoresearch
./scripts/install.sh --claude --global
Option A — Guided installer (recommended):
git clone https://github.com/uditgoenka/autoresearch.git
cd autoresearch
./scripts/install.sh --opencode --global
Option B — Manual copy:
git clone https://github.com/uditgoenka/autoresearch.git
cp -r autoresearch/.opencode/skills/autoresearch .opencode/skills/autoresearch
cp autoresearch/.opencode/commands/autoresearch*.md .opencode/commands/
Or globally:
cp -r autoresearch/.opencode/skills/autoresearch ~/.config/opencode/skills/autoresearch
cp autoresearch/.opencode/commands/autoresearch*.md ~/.config/opencode/commands/
All 14 commands available as
/autoresearch_debug,/autoresearch_fix,/autoresearch_improve, etc.
Option A — Guided installer (recommended):
git clone https://github.com/uditgoenka/autoresearch.git
cd autoresearch
./scripts/install.sh --codex --global
Option B — Manual copy:
git clone https://github.com/uditgoenka/autoresearch.git
cp -r autoresearch/.agents/skills/autoresearch ~/.codex/skills/autoresearch
Invoke via
$autoresearchmention syntax. Subcommands are keywords:$autoresearch plan,$autoresearch debug,$autoresearch evals, etc.
/autoresearch
Goal: Increase test coverage from 72% to 90%
Scope: src/**/*.test.ts, src/**/*.ts
Metric: coverage % (higher is better)
Verify: npm test -- --coverage | grep "All files"
Iterations: 25
Claude reads all files, establishes a baseline, and starts iterating — one change at a time. Keeps improvements, auto-reverts failures, logs everything. Stops after N iterations or when you interrupt.
Karpathy's autoresearch demonstrated that a 630-line Python script could autonomously improve ML models overnight — 100 experiments per night — by following simple principles: one metric, constrained scope, fast verification, automatic rollback, git as memory.
Claude Autoresearch generalizes these principles to ANY domain. Not just ML — code, content, marketing, sales, HR, DevOps, or anything with a number you can measure.
v2.1.0 is a major architecture rebuild. The monolithic SKILL.md (813 lines, ~100K tokens per invocation) is replaced with a thin 41-line routing file and 12 self-contained command files (94–120 lines each, ~5–8K tokens per invocation). That is a 95% token reduction with the same capability surface.
/autoresearch:evals |
| Analyze iteration results: trends, plateaus |
| one-shot |
/autoresearch:regression | Stability gate: baseline vs candidate, verdict STABLE/UNSTABLE | one-shot |
Universal flags: Iterations: N, Iterations: unlimited, --evals, --evals-interval N, --chain <targets>, --<subcommand> shorthand.
All commands use interactive setup when invoked without arguments. Just type the command — the agent asks for what it needs with smart defaults based on your codebase.
OpenCode users: Commands use underscore naming (
/autoresearch_debug,/autoresearch_fix, etc.). All 14 commands available.Codex users: Invoke via
$autoresearchmention syntax. Subcommands are keywords:$autoresearch debug,$autoresearch plan, etc.
| I want to... | Use |
|---|---|
| Give a plain-language goal, let it self-orchestrate | /autoresearch <goal> (bare, no Metric/Verify) |
| Improve test coverage / reduce bundle size / any metric | /autoresearch |
| Run bounded iterations | Add Iterations: N to any command |
| Don't know what metric to use | /autoresearch:plan |
| Run a security audit | /autoresearch:security |
| Ship a PR / deployment / release | /autoresearch:ship |
| Optimize without breaking existing tests | Add Guard: npm test |
| Hunt all bugs in a codebase | /autoresearch:debug |
| Fix all errors (tests, types, lint) | /autoresearch:fix |
| Debug then auto-fix | /autoresearch:debug --fix |
| Check if something is ready to ship | /autoresearch:ship --checklist-only |
| Explore edge cases for a feature | /autoresearch:scenario |
| Generate test scenarios | /autoresearch:scenario --format test-scenarios |
| Get expert opinions before starting | /autoresearch:predict |
| Analyze from multiple angles then debug | /autoresearch:predict --chain debug |
| Generate docs for a new codebase | /autoresearch:learn --mode init |
| Update existing docs after changes | /autoresearch:learn --mode update |
| Debate an architecture decision | /autoresearch:reason --domain software |
| Surface hidden constraints before starting | /autoresearch:probe |
| Pre-flight a fuzzy goal then loop | /autoresearch:probe --chain plan,autoresearch |
| Discover what to build next for your ICP | /autoresearch:improve |
| Research competitors and generate PRDs | /autoresearch:improve --depth deep |
| Probe requirements then research improvements | /autoresearch:probe --improve |
| Analyze trends and plateaus across past runs | /autoresearch:evals |
| Check if a run has stalled | /autoresearch:evals --file *-results.tsv |
| Verify a change won't regress before pushing | /autoresearch:regression |
| Gate a PR: predict, fix, re-gate, then ship | /autoresearch:regression --predict --fix --ship |
.ckignoreSee guide/hooks.md for full reference.