topic
Skill0 starsChanged 26 days agoMITView on GitHub
Document-driven workflow for deferred work: capture and explore an idea or issue, distill it into an implementation plan, then execute. Use when the user wants to record an idea or issue for later, resume a topic, write a plan.md, or implement an existing plan document.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- schuhmica05-sketch/topictheir own version, first seen Oct 20, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- schuhmica05-sketch/topic★ 1same name
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 repository10 other files it gives its agents.
- AGENTS.mdAGENTS.md
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The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 27
Read the kickoff document's status and load the reference for that stage:
- Very specific: line 38
Keep working documents out of git history.
- Distinctive: line 53
Keep documents organized at all times.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Topic
This skill is a document-driven workflow for deferred work: things worth doing later. Capture them so they survive, shape them into plans, execute them when the time comes. Immediate fixes go straight to execution.
Routing
Start a topic
In a mature project, create a folder for the topic at .agents/topics/<topic>/. In a new project, put the documents directly in the project root, as the topic is the project itself. A user-specified path wins. Create the kickoff document, classified as one of:
- idea: something new should exist (feature, project, direction)
- issue: something is wrong (bug, UX, architecture)
Then read references/idea.md or references/issue.md accordingly. If a topic fits both, pick either; the lifecycle is the same.
Resume a topic
Read the kickoff document's status and load the reference for that stage:
ideaorissue:references/idea.mdorreferences/issue.mdplan:references/plan.mdimplementing:references/implementation.mddropped: the topic is closed
Documents
Each topic has a kickoff document (idea.md or issue.md), a plan.md when needed, and any supporting files (research notes, demo scripts). Reference supporting files from the kickoff document.
- Keep working documents out of git history; promote lasting ones into
docs/. The kickoff document records the topic's stage and last update in its frontmatter:
--- status: idea updated: 2026-08-09 ---The stage moves forward:
idea/issue→plan→implementing→done. Simple topics skip the plan and go straight fromidea/issuetodone. A topic given up on ends asdropped.
Working rules
- Record facts and first thoughts directly. Bring judgments and decisions to the user first.
- Keep documents organized at all times. Prefer precise edits over rewrites.
- Documents are working notes, not permanent rules. When one is wrong or outgrown, fix it. Changing what a document says goes through the user: propose the change, then edit once approved.
- The user decides when a stage ends; update the status when a new stage starts.
- Simple tasks skip the plan: once the direction converges, go straight to execution.
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.

