dogfood
Skill4 starsChanged 13 days agoMITView on GitHub
Use after each material behavior slice and before handoff or shipping to exercise runnable work at its real entrypoint.
78 other projects use a version of this.
Adopted by
Most recently taken up by
- xeroc/skillstheir own version, first seen Nov 8, 2026
- ADWilkinson/astacktheir own version, first seen Nov 8, 2026
- ashleysbrain/skillstheir own version, first seen Nov 8, 2026
- delorenj/skillstheir own version, first seen Nov 7, 2026
- callstack/agent-devicetheir own version, first seen Nov 5, 2026
- skillpie/ZCodeOnlinetheir own version, first seen Nov 5, 2026
Used with
Projects with it also use dep-refs, feature-boundary-planner and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
betacatslingSkilldep-refs
Use when needs to inspect TypeScript export references in the z-code workspace, list exports from a file, verify whether an export is unused before deletion, investigate who imports a symbol during refactors, or combine pnpm knip unused-export results with pnpm dep:refs symbol-level reference tracing.
Also in 5 projects that use this
betacatslingSkillfeature-boundary-planner
Map a ZCode behavior change to current UI surfaces, state owners, protocol commands, persistence, and validation. Use for impact analysis, product-boundary planning, or an implementation handoff grounded in the checked-out source.
Also in 5 projects that use this
lir-navcooSkillyuanbao
Yuanbao (元宝) groups: @mention users, query info/members.
Also in 18 projects that use this
Cartograf666Skillarchitecture-governance
Bootstrap, document, enforce, and review a project's architecture through layer responsibilities, dependency direction, architecture manifests, legacy baselines, Change Envelopes, cross-layer approval policy, and deterministic architecture checks. Use when starting a project, auditing an existing codebase, planning cross-layer work, preventing architecture erosion, reviewing structural changes, or deciding whether implementation may expand into another layer.
Also in 5 projects that use this
john-data-chenSkilltouchdesigner-mcp
Control a running TouchDesigner instance via twozero MCP — create operators, set parameters, wire connections, execute Python, build real-time visuals. 36 native tools.
Also in 7 projects that use this
math-incSkillminecraft-modpack-server
Set up a modded Minecraft server from a CurseForge/Modrinth server pack zip. Covers NeoForge/Forge install, Java version, JVM tuning, firewall, LAN config, backups, and launch scripts.
Also in 5 projects that use this
Other versions78 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 78
- NousResearch/hermes-agent★ 262ksame name
- vercel-labs/agent-browser★ 47ksame name
- coder/coder★ 17ksame name
- zai-org/ZCode★ 8.6ksame name
- callstackincubator/agent-device★ 5.3ksame name
- callstack/agent-device★ 5.3ksame name
- salesforce/cloudsplaining★ 2.3ksame name
- coder/cmux★ 2.1ksame name
- coder/mux★ 2.1ksame name
- phodal/routa★ 1.8ksame name
68 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository117 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- accessibilitySkill
- agent-watchdogSkill
- aipSkill
- animateSkill
- animation-performanceSkill
- animation-vocabularySkill
- ask-benSkill
- ask-sonnerSkill
- bazelSkill
- bend-lawsSkill
- blast-radiusSkill
- brain-dumpSkill
- break-uiSkill
- ci-fixesSkill
- codebase-designSkill
- codex-compatSkill
- codexSkill
- commit-push-prSkill
- connect-querySkill
- create-verification-skillSkill
- demoSkill
- development-lifecycleSkill
- diagnosing-bugsSkill
- docsSkill
- domain-modelingSkill
- e2e-testingSkill
- effect-tsSkill
- effect-v3-to-v4Skill
- efficient-frontierSkill
- eli5Skill
- excalidraw-diagramSkill
- extend-harnessSkill
- frontend-invariantsSkill
- frontend-starter-kitSkill
- full-sendSkill
- gesturesSkill
- golang-reviewSkill
- golangSkill
- goSkill
- grillingSkill
- handoffSkill
- hook-auditSkill
- implement-specSkill
- improve-animationsSkill
- improve-codebase-architectureSkill
- improveSkill
- launchdarklySkill
- lie-detectorSkill
- maintain-verification-skillSkill
- make-pr-easy-to-reviewSkill
- mobile-nativeSkill
- plan-arbiterSkill
- plow-aheadSkill
- postgresqlSkill
- primeSkill
- productSkill
- protobufSkill
- prototypeSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 78 edited versions we read keep these.
2
Distinctive
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
- Distinctive: line 20
Run use -> abuse -> repair -> replay.
- Distinctive: line 26
Use representative live-scale data (production-like shape/cardinality).
- Very specific: line 73
If a project-local verify-* skill exists, use its doctor, drive, evidence, and cleanup.
“Common” is measured: kept by at least 6 in 10 of the 78 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
For behavior/verifier checks, read Poteto.
Dogfood each material runnable slice and final PR at public seams. Tests are not dogfood.
Inventory
- Resolve the comparison base with
BASE=$(PR_BASE_REF="${DOGFOOD_BASE_REF:-}" "${CLAUDE_PLUGIN_ROOT:-.}/scripts/resolve-pr-base.sh"). - Inspect the full PR: merge-base through committed, staged, unstaged, and untracked work.
- Cover changed runnable branches at real entrypoints, including skill resources/scripts and hook events. Standalone docs, tests and evals need no experiential coverage.
Loop
Run use -> abuse -> repair -> replay.
Use
Exercise intended paths; inspect output, transitions, effects, console, network and logs.
Use representative live-scale data (production-like shape/cardinality); compare expected/observed counts, ordering, timing, state and effects; expose accumulation.
For bugs, replay the reporter's exact steps unfixed. If you cannot reproduce it, request missing environment or evidence before diagnosis.
Abuse
Try one credible break:
- Careless: empty, invalid, oversized, duplicate, or reordered input.
- Impatient: repeat, double-submit, reload, navigate away, cancel, or interrupt.
- Unlucky: stale or missing data, slow or failed dependency, partial completion.
- Live data: sparse fields, duplicate IDs, mixed versions or tenants, long text, Unicode, timezone boundaries, realistic cardinality.
- Performance: measure response time, network, render, CPU, and memory against a baseline or budget.
Observe failure and recovery.
UI content/layout risks: Call the Skill tool with "break-ui". Reuse schema-valid fixtures and evidence in replay/receipt; test only uncovered cases. Keep invalid-input validation separate.
Repair
Defects fail. When automatable, add a RED public-contract test,
fix via /tdd, and rerun focused checks. Edits invalidate evidence.
Replay
At the real entrypoint, repeat intended use and every break attempt. For bugs, replay identical steps and adjacent behavior. Use replay packets for stateful bugs or recurring repro gaps. PASS binds to the current runnable state.
Entrypoints
| Change | Exercise |
| Web/UI | Run, navigate, act, reload, inspect console/network |
| CLI/TUI | Invoke realistic, invalid, and interrupted flows |
| API/worker | Send real requests/events; inspect response and side effects |
| Library | Call the public API from a minimal consumer |
| Hook/automation | Trigger the actual event with representative fixtures |
| Skill/agent | Use on a fresh realistic task and inspect behavior |
| Demo/prototype | Operate until the question has observed evidence |
Fresh agents require explicit delegation.
If a project-local verify-* skill exists, use its doctor, drive, evidence, and cleanup.
T3 Code checkout UI only: resolve native context, then load web/desktop or
native mobile. Missing Browser/Device tools mean
BLOCKED, not installing or switching harnesses.
Verifier drift routes to /maintain-verification-skill; a recurring missing path routes to
/create-verification-skill after proof.
React: runtime probes.
Receipt
Verdict: PASS | FAIL | BLOCKED; entrypoint/actions/observations:
- Entrypoint: exact command/URL/event/consumer.
- Actions: journey and break attempts.
- Observations: data, outputs, state, effects, console/network/logs, timing.
- Repairs: defects, RED tests, fixes, replay result.
- Limits: untried behavior and reason.
PASS: direct evidence per behavior; FAIL: observed defect; BLOCKED: missing access, environment, hardware or safety condition.
Does it work?
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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.

