execute
Skill1 starsChanged 9 days agoMITView on GitHub
Asks workers on the current harness to research read-only, then this chat does the work. Default roster is the current model on every slot. Apply when the user invokes execute or /execute, or wants workers to research before this chat writes. Use opinion when nobody should write. Use inception to produce the plan first. Use kit-workflows for one-agent implementation. Use deep-deliberation for checkpointed decisions.
57 other projects use a version of this.
Adopted by
Most recently taken up by
- LeonardiFranco/skillstheir own version, first seen Nov 8, 2026
- pfangueiro/claude-code-agentstheir own version, first seen Nov 8, 2026
- Yeachan-Heo/oh-my-claudecodetheir own version, first seen Nov 8, 2026
- crbnos/carbontheir own version, first seen Nov 7, 2026
- chrislacey89/skillstheir own version, first seen Nov 4, 2026
- JohnnyMcGee/claude-skillstheir own version, first seen Nov 1, 2026
Used with
Projects with it also use context-optimize, ralplan 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.
ibahgatSkillcontext-optimize
Improve context efficiency and cache stability for long or complex sessions.
Also in 3 projects that use this
ibahgatSkillralplan
Create a strict, quality-first execution plan with explicit gates and rollback-ready sequencing.
Also in 5 projects that use this
Yeachan-HeoSkillultragoal
Create and execute durable repo-native multi-goal plans over Codex goal mode artifacts.
Also in 4 projects that use this
buddyhSkilldeep-dive
Deep dive on any topic. Decomposes into subtopics, researches each in parallel with thorough source gathering, then synthesizes into a comprehensive report (4,000-10,000+ words, 40-100+ sources). Scales depth dynamically based on topic complexity. Use when asked for a deep dive, deep research, comprehensive analysis, or thorough investigation of a topic.
Also in 4 projects that use this
mukcoSkillprinciples
General software engineering principles — DRY, SOLID, YAGNI, KISS, naming, code smells, and refactoring. Language-agnostic. Use alongside language-specific skills.
Also in 3 projects that use this
team-attentionSkillcompound
This skill should be used when the user says "/compound", "compound this", "document learnings", "save what we learned", or after completing a PR. Extracts knowledge from PR context and saves to docs/learnings/.
Also in 3 projects that use this
- +1 more from ibahgat
Other versions57 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 57
- Yeachan-Heo/oh-my-claude-sisyphus★ 41ksame name
- Yeachan-Heo/oh-my-claudecode★ 41ksame name
- crbnos/carbon★ 2.8ksame name
- zaxbysauce/opencode-swarm★ 519same name
- ZaxbyHub/opencode-swarm★ 518same name
- Joonghyun-Lee-Frieren/oh-my-antigravity★ 214same name
- Joonghyun-Lee-Frieren/oh-my-gemini-cli★ 214same name
- team-attention/hoyeon★ 173same name
- Adrian333Dev/flow★ 39same name
- shipshitdev/skills★ 39same name
47 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 repository107 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .cursor/rules/base.mdcCursor rule
- .cursor/rules/changelog.mdcCursor rule
- .cursor/rules/comments.mdcCursor rule
- .cursor/rules/release.mdcCursor rule
- .cursor/rules/seo-ai-search.mdcCursor rule
- .cursor/rules/testing.mdcCursor rule
- agent-readySkill
- authoring-skills-and-rulesSkill
- blinded-evalSkill
- cloakbrowser-fallbackSkill
- deep-deliberationSkill
- design-rationaleSkill
- dissectSkill
- documentation-writerSkill
- everything-seoSkill
- executeSkill
- generating-app-verifySkill
- inceptionSkill
- kit-workflowsSkill
- marketing-psychologySkill
- media-genSkill
- nlm-skillSkill
- opinionSkill
- proving-change-safetySkill
- refreshing-app-verifySkill
- release-deploySkill
- seo-auditSkill
- startup-marketing-brainSkill
- subsystem-walkthroughSkill
- trlSkill
- unmatched-workflowSkill
- agent-readySkill
- authoring-skills-and-rulesSkill
- blinded-evalSkill
- cloakbrowser-fallbackSkill
- deep-deliberationSkill
- design-rationaleSkill
- dissectSkill
- documentation-writerSkill
- everything-seoSkill
- generating-app-verifySkill
- inceptionSkill
- kit-workflowsSkill
- marketing-psychologySkill
- media-genSkill
- nlm-skillSkill
- opinionSkill
- proving-change-safetySkill
- refreshing-app-verifySkill
- release-deploySkill
- seo-auditSkill
- startup-marketing-brainSkill
- subsystem-walkthroughSkill
- trlSkill
- unmatched-workflowSkill
- agent-readySkill
- authoring-skills-and-rulesSkill
- blinded-evalSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
12 rules. 0 are common, 8 are distinctive, and 4 are very specific to this project.
0
Common
Most of the 55 edited versions we read keep these.
8
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 38
Do not auto-start this skill.
- Distinctive: line 41
Do not invent a model name.
- Very specific: line 42
Never write a spawn identifier in a question, option, chat roster, worker prompt, or take label.
- Very specific: line 45
If this host cannot spawn a child at all, stop.
- Distinctive: line 71
If the user already named 2–5 models that exist on this host, use them.
- Very specific: line 75
If the user said auto-pick (or chose it), run auto-pick for agents families from references/hosts.md, announce with display names, then …
- Distinctive: line 95
Do not spawn yet.
- Very specific: line 97
If they assign each worker, ask one question per slot (not a multi-select).
- Distinctive: line 103
No structured question tool → numbered text fallback.
- Distinctive: line 108
Keep valuable minority observations.
- Distinctive: line 109
Do the work here. Do not delegate writes back to workers.
- Distinctive: line 124
Never invent a missing take.
“Common” is measured: kept by at least 6 in 10 of the 55 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
Execute
Leading words: current first, same-family ok, slug shield, auto-pick stays distinct, this chat does the work.
Workers research. This chat does the work. There is no agent-count flag — pick 2 or 3 from the job (default 3; 2 if the request is small, local, or mechanical).
Operating contract
- Do not auto-start this skill. The user must ask for it.
- Current-for-all is the default. Same family may occupy more than one slot when they chose that.
- Auto-pick is the only path that still requires distinct families.
- Do not invent a model name. Use the live list this harness exposes.
- Never write a spawn identifier in a question, option, chat roster, worker prompt, or take label. Map family → live-list name only in the spawn tool's
modelargument. Current →inherit(or omitmodel). - Workers are read-only. A worker that edits files has failed; discard that take.
- This chat writes after the takes. Do not send writes back to workers.
- If this host cannot spawn a child at all, stop. Auto-pick that cannot gather two families: offer Current-for-all or
deep-deliberation.
Runtime state
EXECUTE_STATE
host: cursor | claude-code | opencode | copilot | codex | other
agents: 2 | 3
roster: unset | Current,OpenAI,…
takes: 0/N
next_action: one action onlyPipeline
Copy these steps into the todo list verbatim. Skip with skip: <reason>.
- Detect the host. Read references/hosts.md. Build the live spawnable model list. Current-for-all does not need two families.
- Set
agentsto 3, or 2 if the request is small, local, or mechanical. If the user named models (or current), use that list (2–5) instead of auto-pick. One named model fills every slot. - Resolve roster: models the user named, or Current for all, or auto-pick, or assign each worker. Announce with display names before spawning.
- Spawn one read-only worker per roster slot. Same prompt. Parallel. Read references/worker-prompt.md.
- Render labeled takes (
[Current],[OpenAI], …). Do not write yet. - This chat merges with
[display name]attribution, does the work, proves the real path.
Roster
If the user already named 2–5 models that exist on this host, use them. Same family is allowed. If they named one model, or said current / inherit, fill every slot with that choice.
If the user said auto-pick (or chose it), run auto-pick for agents
families from references/hosts.md, announce with
display names, then spawn.
Otherwise ask:
prompt: Which models should research?
options:
- Current model for all workers (Recommended)
- Auto-pick distinct families
- I'll assign each worker
- Say this in plain English
allow_multiple: falseOption ids: current, auto, assign, simplify. Never live-list names.
Say this in plain English is a meta question: explain Current vs
auto-pick with display-name examples (never spawn ids), then re-ask.
Do not spawn yet.
If they assign each worker, ask one question per slot (not a
multi-select). Each slot's first option is Current model (Recommended),
then one option per remaining family using display names and
fam-* ids from references/hosts.md. Same
family may be chosen on more than one slot.
No structured question tool → numbered text fallback.
Write
- Resolve consensus and divergence with
[display name]attribution. - Keep valuable minority observations. Reject weak claims explicitly.
- Do the work here. Do not delegate writes back to workers.
- Prove on the real path (or closest executable check).
skip:if the surface cannot be driven.
Reply contract
Playbook: execute
roster: Current, OpenAI, GrokThen the labeled takes, what shipped, and how you verified.
Delegate failure
- Retry one transient spawn failure.
- Never invent a missing take.
- Fewer than two successful takes → stop, ask whether to retry or abort.
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.

