Use before searching, reading, or editing files in this repo (or any repo with a "calm" MCP server), or whenever unsure which CALM tool fits — a self-triggerable orientation to the CALM Stage 1-8 tool workflow (repooverview → locate → source → callers → editcontext → editsymbol/editlines → diffimpact →…
Cross-agent repo-local progress checkpoint workflow for any git repository. Use this skill whenever the user says save progress, checkpoint, snapshot the current lane, capture key chat context, write down what matters before closing, or wants the next session to resume immediately from Codex, Claude Code, opencode, or…
Fast cross-agent repo-local resume workflow for any git repository. Use this skill whenever the user says resume previous work, continue where we left off, recover context after reopening, or wants the exact current lane without broad repo exploration. Prefer the latest repo-local checkpoint under .agents/checkpoints/…
Orchestrate multi-agent workflows through RagCode. Turn a natural-language collaboration pattern (e.g. "Gemini plans, Claude breaks down, Codex implements, Claude reviews") into a validated DAG workflow spec, then run it with the RagCode agent workflow engine. Trigger when the user asks to coordinate multiple AI…
Manage shared cross-AI memories for this project through RagCode MCP tools (memorywrite, memoryquery, memorylist, memorydelete), with ragcode memory CLI fallback when MCP is unavailable. Read prior decisions, user preferences, and feedback written by other AI agents, and record new insights so they persist across…
Descobre e seleciona modelos de providers LLM de forma report-only: inventário read-only de modelos, docs oficiais, quota/billing/rate gates e shortlist para canary protegido. Use antes de adicionar providers, escolher modelos ou migrar monitores/roteamento.
Use when a Pi session needs to continue local-safe work with low operator friction: discover focus, interview only for missing constraints, prepare bounded slices, use workers only behind gates, checkpoint, and stop on real risk.
Research open-source libraries with evidence-backed answers and GitHub permalinks. Use when the user asks about library internals, needs implementation details with source code references, wants to understand why something was changed, or needs authoritative answers backed by actual code. Excels at navigating large…
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Review and sharpen persistent memory so it compounds instead of accumulating. Use when pruning pi-hermes-memory entries, doing monthly memory hygiene, or when the same lesson has been recorded multiple times.
Adversarial verification of finished work. Treats any 'done' claim as a set of claims to verify by re-running everything yourself. Use when someone reports work complete and you must gate it: load this before trusting a completion report. Subcommands: suite runs a trap suite against any skill/model.
The orchestrated version of fable-method: runs the same decide-act-verify-report loop but fans out parallel evidence subagents in planning and adversarial attacker subagents in verification. Four stages - PLAN, EXECUTE, VERIFY, AUDIT/REPORT - with a decision gate after the plan and a hard 3-cycle bound on failed…
A 7-step problem-solving discipline loop that gives any model structured thinking: classify the ask, define done, gather evidence, decide, act surgically, verify by observation, report outcome-first. Use when the user says 'fable-method', or proactively when starting any multi-step task that no task-specific skill…
Implement code from an LLD spec using the current model. Reads the best LLD for a given problem, implements the code changes against the target repo, produces a unified diff, and captures detailed metrics (tokens, cache hits, wall-clock time, tool calls). Results go under…
Summarize a /swe benchmark run for a given repo/problem/model triple. Reports artifact completion status (github-issue.md, lld.md, review.md, testing.md), error signals captured during the run, and a token-and-themes summary derived from the matching session JSONL files under /.claude/projects/. Output is a single…
★not rated 10 29d agoA81 tokens
MIT-0
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: