wish2ai
Skill1 starsChanged 23 days agoMITView on GitHub
Write a plan to hand to an AI agent to carry out (写方案交给 AI 执行). Use when the user wants a plan, spec, or task brief that Codex, Cursor, Claude Code, or another agent will work from (给 AI 看 / 让 AI 照着做 / 交给 agent), or runs /wish2ai. Reads the context, asks only what changes the plan, then writes a self-contained Markdown plan that a reader with no context can carry out (docs/YY-MM-DD-{slug}.md). Plans only; never does the work.
In this repository7 other files it gives its agents.
- elderSkill
- wish2humanSkill
- wishSkill
- web-animationSkill
- web-color-depthSkill
- web-interactionSkill
- web-layoutSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
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 13
Run the wish skill in ai mode on this request, skipping its mode detection.
≈ “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
Wish → AI
Run the wish skill in ai mode on this request, skipping its mode detection.
It is installed next to this one: read ../wish/SKILL.md and follow it; its paths are relative to
../wish/. If that file is missing, tell the user this command needs the wish skill installed
alongside it, and stop.
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.