brief
Skill0 starsChanged 8 months agoNo licenceView on GitHub
Turn a vague idea or problem into a structured one-page brief. Asks a few focused questions, then produces a formatted draft ready to paste into Notion.
We split this skill into the rules it gives an agent
12 rules. 0 are common, 12 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 67 edited versions we read keep these.
12
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 67 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.
Other versions75 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 75
- anthropics/knowledge-work-plugins★ 34ksame name
- suboss87/FDEOps★ 940same name
- with-pebbly/aseprite-ai-artist★ 473same name
- educlopez/ui-craft★ 398same name
- github/lever★ 241same name
- dylanroscover/Embody★ 211same name
- yofine/skills★ 154same name
- grainulation/grainulator★ 86same name
- g2i-ai/agents★ 52same name
- gregmos/memoforge★ 38same name
65 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.
Used alongsideProjects with it also use capture, strategy 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.
toneron2Skillcapture
Capture thoughts to inbox with automatic classification
Also in 6 projects that use this
EpistatesSkillstrategy
Plan weekly or monthly X content strategy. Use when the user wants to plan their content calendar, set growth goals, build a content pipeline, or think strategically about their X presence.
Also in 4 projects that use this
aleksander-dytkoSkilldecision
Make a product decision with full context from the vault and available sources
Also in 3 projects that use this
kv0906Skilldecide
Log a decision with context, alternatives considered, and rationale. Use for "/decide project: using websocket over polling" or "/decide project: chose React for frontend".
Also in 5 projects that use this
howellsSkillreconcile
Audit a project against current plugin conventions and offer to update structure.
Also in 3 projects that use this
JaimeGBASkillingest
Digest an external source (article, paper, transcript, URL, book chapter) and integrate its content into the knowledge base
Also in 7 projects that use this
In this repository3 other files it gives its agents.
- interview-debriefSkill
- retroSkill
- ticketSkill
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.

