how
Skill2 starsChanged 8 months agoMITView on GitHub
Use for runtime, ownership, layering, code-walkthrough, and placement questions.
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 75 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 23
If the scope is ambiguous, state your interpretation and explore.
- Distinctive: line 28
When in doubt, take the simple path.
“Common” is measured: kept by at least 6 in 10 of the 75 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
How
On Codex, Cursor, or another non-Claude runtime, read the runtime mapping, including its per-skill notes, before following this skill.
Explore the codebase to answer "how does X work?" questions. Produce architectural explanations at the level of a senior engineer onboarding onto a subsystem, enough to build a working mental model, not so much that it reads like annotated source code.
Step 1. Assess Complexity
If the scope is ambiguous, state your interpretation and explore. The user can redirect.
- Simple (a single module, a small utility, a narrow question such as "how does function X work"): no explorers. One explainer explores and explains in a single pass. Go to Step 2b.
- Complex (a subsystem spanning multiple files or services, a cross-cutting feature, a full architectural overview): spawn parallel explorers first, then hand off to the explainer. Go to Step 2a.
When in doubt, take the simple path.
Step 2a. Explore (complex questions only)
Decompose the question into 2 to 4 exploration angles, each a distinct slice of the subsystem. Spawn all explorers in a single message:
subagent_type:general-purposemodel: your configured how-explorer model (default in Models)readonly:true
Each explorer gets the prompt in references/explorer-prompt.md with its angle filled in. Then go to Step 3.
Step 2b. Direct Explain (simple questions)
Spawn one Task subagent that explores and explains in one pass:
subagent_type:general-purposemodel: your configured how-explainer model (default in Models)readonly:true
Build its prompt from references/explainer-prompt.md without the explorer-findings section. Go to Step 4.
Step 3. Synthesize (complex questions only)
Once all explorers have returned, spawn one Task subagent to synthesize their findings into one explanation:
subagent_type:general-purposemodel: your configured how-explainer model (default in Models)readonly:true
Build its prompt from references/explainer-prompt.md with every explorer's findings filled in.
Step 4. Present
Present the explainer's output to the user. Light edits for clarity or context from the conversation are fine. Do not substantially rewrite it.
Output Format
The explanation uses the sections defined in references/explainer-prompt.md, dropping any that do not apply: Overview, Key Concepts, How It Works, Where Things Live, Gotchas.
Models
Role defaults originate from the upstream plugins/pstack/models.json. Refresh them through scripts/vendor_jstack.py after reviewing the upstream change. A matching role line in ~/.claude/jstack-models.md overrides each at runtime; see /setup-jstack.
- how explorer:
claude-opus-5 - how explainer:
claude-opus-5
Other versions76 projects use a version of this.
Word for word · 0
None found.
Edited · 48
- backnotprop/pstack★ 2.7k32% same
- uzairansaruzi/p3-stack★ 12660% same
- Dimon94/dverity★ 10763% same
- Dimon94/skills★ 10763% same
- dsebban/skills★ 7130% same
- roerohan/skills★ 2911% same
- overextended/skills★ 1823% same
- Scino/fstack★ 1813% same
- kkgogogo17/pi-pstack★ 911% same
- mariusflorescu/pstack-t3★ 930% same
38 more not listed
Wrote their own version · 28
- poteto/how★ 878same name
- jtaroreh/agystack★ 128same name
- sirius-cc-wu/sirius-skills★ 5same name
- TheOnlyFusionCube/potetos-for-everyone★ 5same name
- painhardcore/pstack★ 4same name
- bnema/pi-pstack★ 2same name
- fullerzz/agent-skills★ 2same name
- Greg-Klein/implementation-factory★ 2same name
- Greg-Klein/implementation-harness★ 2same name
- jmporchet/pstack-hermes★ 2same name
18 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 poteto-help, principle-explain-the-number 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.
ianclearySkillpoteto-help
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juancamiloqhzSkillprinciple-explain-the-number
Apply before you trust, report, or act on a number you measured: a speedup, a regression, a throughput, a latency, or an eval result. Find what limits it, and rule out that it measured something other than the work you think.
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Builds a small web page whose buttons wake an agent over a webhook: a local server keeps the sender key server-side and POSTs JSON to a webhook-triggered routine, and the page is exposed on the existing Tailscale node. Use for \"make a bot UI\", \"a dashboard with buttons that trigger the agent\", \"wake the bot from a page\", handing a webhook sender key to the server without pasting it in chat, or putting that UI on the tailnet. Not for general frontend work - use principle-frontend; not for tailnet health or reachability - use tailscale.
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jtarorehSkillpoteto-mode
poteto's agent style for concise, detailed responses, deliberate subagents, unslopped prose, simple code, and verified work. Use for poteto, /poteto-mode, or requests to work in this style.
Also in 5 projects that use this
bnemaSkillsetup-pstack
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Also in 18 projects that use this
In this repository93 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .cursor/rules/code-simplifier.mdcCursor rule
- .cursor/rules/tdd-verification.mdcCursor rule
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- The first 60 shown.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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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.

