lfg
Skill7 starsChanged 3 months agoMITView on GitHub
Full autonomous engineering workflow
11 other projects use a version of this.
Adopted by
Most recently taken up by
- MMACABRE/SKILLStheir own version, first seen Nov 8, 2026
- chrislacey89/skillstheir own version, first seen Nov 4, 2026
- kieranklaassen/compound-engineering-plugintheir own version, first seen Oct 8, 2026
- EveryInc/every-marketplacetheir own version, first seen Oct 8, 2026
- EveryInc/compounding-engineering-plugintheir own version, first seen Oct 8, 2026
- klmiing1229-a11y/Rough_Idea_To_Pro_Prompttheir own version, first seen Oct 8, 2026
Used with
Projects with it also use ce-explain, ce-handoff 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.
kieranklaassenSkillce-explain
Explain how and why something has its current shape, or what happened over a window of work, grounded in evidence. Use when the user asks for an explanation. Use ce-pov for a judgment or recommendation.
Also in 6 projects that use this
kieranklaassenSkillce-handoff
Create a session handoff for another agent, or resume, find, and read any user-selected continuity source. Use when work or conversation must continue without access to the current session history.
Also in 6 projects that use this
- +10 more from kieranklaassen
Other versions11 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 11
- kieranklaassen/compound-engineering-plugin★ 26ksame name
- EveryInc/every-marketplace★ 26ksame name
- EveryInc/compounding-engineering-plugin★ 26ksame name
- EveryInc/compound-engineering-plugin★ 26ksame name
- chrislacey89/skills★ 4same name
- klmiing1229-a11y/Rough_Idea_To_Pro_Prompt★ 3same name
- ashtonhwoi/claude-skills★ 2same name
- klmiing1229-a11y/lfg-prompt-engineer★ 2same name
- MMACABRE/SKILLS★ 1same name
- MortuisVMain/ai-agent-superpowers★ 0same name
1 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 repository25 other files it gives its agents.
- .github/copilot-instructions.mdCopilot instructions
- enlightenSkill
- brainstormingSkill
- ce-brainstormSkill
- ce-compound-refreshSkill
- ce-compoundSkill
- ce-ideateSkill
- ce-planSkill
- ce-reviewSkill
- ce-workSkill
- claude-permissions-optimizerSkill
- deepen-planSkill
- document-reviewSkill
- evolveSkill
- feature-videoSkill
- instinctsSkill
- karpathy-guidelinesSkill
- learnSkill
- observeSkill
- ralph-loopSkill
- resolve_todo_parallelSkill
- setupSkill
- slfgSkill
- test-browserSkill
- unslopSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.
0
Common
Most of the 11 edited versions we read keep these.
1
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
- Very specific: line 10
Optional: If the ralph-loop skill is available, run /ralph-loop-ralph-loop "finish all slash commands" --completion-promise "DONE".
- Distinctive: line 40
Start with step 2 now (or step 1 if ralph-loop is available).
“Common” is measured: kept by at least 6 in 10 of the 11 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
CRITICAL: You MUST execute every step below IN ORDER. Do NOT skip any required step. Do NOT jump ahead to coding or implementation. The plan phase (step 2) MUST be completed and verified BEFORE any work begins. Violating this order produces bad output.
- Optional: If the
ralph-loopskill is available, run/ralph-loop-ralph-loop "finish all slash commands" --completion-promise "DONE". If not available or it fails, skip and continue to step 2 immediately. /ce-plan $ARGUMENTSGATE: STOP. Verify that the
ce-planworkflow produced a plan file indocs/plans/. If no plan file was created, run/ce-plan $ARGUMENTSagain. Do NOT proceed to step 3 until a written plan exists. Record the plan file path — it will be passed to ce-review in step 4./ce-workGATE: STOP. Verify that implementation work was performed - files were created or modified beyond the plan. Do NOT proceed to step 4 if no code changes were made.
/ce-review mode:autofix plan:<plan-path-from-step-2>Pass the plan file path from step 2 so ce-review can verify requirements completeness.
/unslop fixStrip AI slop after review fixes land — removes commented-out code, filler comments, stale TODOs.
/observeon the areas of code that were changed — analyze patterns in the modified files to capture what was done and how./learn— extract reusable patterns from this session into project instincts./compound-engineering-todo-resolve/compound-engineering-test-browser/compound-engineering-feature-video- Output
<promise>DONE</promise>when video is in PR
Start with step 2 now (or step 1 if ralph-loop is available). Remember: plan FIRST, then work. Never skip the plan.
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.

