claude-pi
Skill396 starsChanged 6 months agoMITView on GitHub
Use the local Pi CLI (pi.dev) from Claude Code with the user's existing Pi authentication (Kimi, Claude Pro/Max, or ChatGPT OAuth). Use for second-opinion analysis, implementation, or reviews from a Kimi-family model in the current workspace.
In this repository73 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- agent-activitySkill
- agent-registrySkill
- agent-room-opsSkill
- answer-formatSkill
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- bot2bot-postSkill
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- claude-codexSkill
- claude-geminiSkill
- claude-routerSkill
- collaboration-intelligenceSkill
- connect-appsSkill
- context-dropSkill
- context-reconstructSkill
- db-browserSkill
- deal-finderSkill
- doc-ingestSkill
- electron-overlay-dimmingSkill
- email-findSkill
- engine-conflict-resolveSkill
- gemini-ttsSkill
- image-generationSkill
- import-claude-contextSkill
- local-workspace-serverSkill
- macos-toolsSkill
- macos-useSkill
- make-viral-videoSkill
- marketplaceSkill
- media-transcriptSkill
- meeting-prepSkill
- meeting-schedulerSkill
- mention-gateSkill
- model-switchSkill
- morning-briefingSkill
- ms365-connectSkill
- observeSkill
- obsidian-vaultSkill
- openai-ttsSkill
- open-sutando-refSkill
- overlay-appsSkill
- phone-conversationSkill
- proactive-loopSkill
- pr-shepherd-contractSkill
- quota-trackerSkill
- regression-searchSkill
- relaySkill
- releaseSkill
- report-feedbackSkill
- review-preflightSkill
- room-collabSkill
- schedule-cronsSkill
- screen-companionSkill
- screen-recordSkill
- self-diagnoseSkill
- self-upgradeSkill
- session-recapSkill
- skill-usage-reportSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 1 is distinctive, and 4 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.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 26
Default provider/model is kimi-coding/kimi-for-coding.
- Very specific: line 27
Use --read-only for analysis passes — it restricts Pi to its read tool (no bash/edit/write).
- Very specific: line 30
Keep Pi in the target repo via --cd.
- Very specific: line 56
If ARGUMENTS is empty, explain the available modes and suggest --read-only for analysis.
- Distinctive: line 57
If ARGUMENTS is present, run:
≈ “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
Claude Pi
Delegate work from Claude Code to the local pi CLI (pi.dev). This skill uses whatever
authentication Pi is already logged into on this machine (~/.pi/agent/auth.json — OAuth
for Kimi, Claude Pro/Max, or ChatGPT). It does not copy or export secrets.
Usage: /claude-pi [prompt]
ARGUMENTS: $ARGUMENTS
When to Use
- "Use pi on this repo" / "ask kimi"
- Need a second opinion from a Kimi-family model (default:
kimi-coding/kimi-for-coding) - Need a non-Anthropic, non-OpenAI, non-Google perspective on a design or diff
- Need a scripted, non-interactive agent pass (
pi -p) in the current workspace
Guardrails
- Default provider/model is
kimi-coding/kimi-for-coding; override with--provider/--model. - Use
--read-onlyfor analysis passes — it restricts Pi to itsreadtool (no bash/edit/write). - Without
--read-only, Pi has full tools (read, bash, edit, write) in the working directory — same trust level as a default Codexworkspace-writerun. - Keep Pi in the target repo via
--cd; prefer--mode jsonwhen another tool consumes the output.
Quick Checks
bash "$SKILL_DIR/scripts/pi-run.sh" --checkCommon Commands
# Read-only analysis
bash "$SKILL_DIR/scripts/pi-run.sh" --read-only -- "Trace how tasks flow from voice input to execution"
# Different provider/model (any Pi is logged into)
bash "$SKILL_DIR/scripts/pi-run.sh" --provider kimi-coding --model k3 -- "Review the repo structure"
# Machine-readable output
bash "$SKILL_DIR/scripts/pi-run.sh" --mode json -- "Summarize risks in src/startup.sh"
# Allow edits when the user asked for implementation help
bash "$SKILL_DIR/scripts/pi-run.sh" -- "Implement a safer startup preflight for missing services"If Invoked As A Slash Command
- If ARGUMENTS is empty, explain the available modes and suggest
--read-onlyfor analysis. - If ARGUMENTS is present, run:
bash "$SKILL_DIR/scripts/pi-run.sh" -- "$ARGUMENTS"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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- It worked
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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.

