Productivity

Makes the most expensive model in a session the senior decision-maker, keeping its reasoning for intent, architecture, decomposition, tradeoffs, final review, and synthesis while cheaper agents handle discovery, implementation, tests, logs, and verification. Use when the active agent is Fable or another top-tier model, or when asked to "act as chief agent", "delegate the grunt work", or "save the expensive model for decisions".

Inspects a project's discovered agent instructions (AGENTS.md, CLAUDE.md, GEMINI.md) and skill definitions for static wiring problems, without loading, changing, or enabling them, and reports which installed skills are rarely or never called in local session logs. Use when asked "why isn't my skill loading", "check my agent setup", "diagnose skill discovery", "audit AGENTS.md and skills", or "which skills do I never use".

>- Install and drive Cursor-Chrome (local agent Chromium). Use when the user says "install this", "hey install this", "set this up", pastes github.com/T3ckfr3ak1/cursor-chrome-public, or says "use cursor chrome" / "cursor-chrome" / agent browser / handoff / Play Console upload. Prefer Cursor-Chrome over IDE browser. Install: INSTALL.md + npm run install:agent. Drive: THREAD-PROTOCOL.md beside this skill. Anti-secrecy: agents cannot hide/minimize (403); humans park via taskbar/tray only.

Use when the user invokes $amap-maps-mcp, mentions Amap Maps, or asks for supported Amap Maps workflows.

Record DION meetings on Windows, transcribe recordings locally, and create Russian Markdown minutes. Use for meeting recording, stopping recording and processing existing recordings.

Examines raw stakeholder input (transcripts, briefs, emails, feature ideas) into epics and candidate user stories published to the tracker; when scope exceeds a single session, opens a decision map and resolves one decision per session.

Configures a workspace for refinement workflows: operating mode (with or without code), local markdown tracker, publishing conventions, and agent instructions block in AGENTS.md or CLAUDE.md. Run once per workspace.

Have Grok Bot do work on its cloud computer (it operates the desktop like a person, by screen, mouse and keyboard) while Claude decides each next step, starting Grok Bot if it isn't running. Use when the user wants Grok Bot to do something, asks about a task sent to Grok Bot, or asks to set up, check or repair Claude2GrokBot.

Use when a Claude2GrokBot wake request starts you (webhook body type "claude2grokbot.wake") or the user says "check Claude2GrokBot": claim the tasks Claude queued, do them, and upload the results.

Run the full pre-PR checklist (make check, secret scan, docs, diff review) before opening or updating a pull request. Use before creating a PR or when asked if work is ready.

Use when an open-ended task should be raised from task-level to outcome-level, when results must be verified by something other than the model that produced them, or when a crew of tool-bearing subagents is needed. Compiles the request into <invariant + falsifiable verifier + environment manifest>, runs an outside-judge ladder with per-claim verdicts, and makes subagents do the work rather than role-play it. Skip for tight specs with fixed acceptance criteria, trivial tasks, or crunch situations - adding harder goals there only adds risk.

把杂乱的会议记录、语音转录文字整理成结构化会议纪要。当用户发来会议记录、聊天记录或转录文本并说"整理成纪要"时使用。

Capture architectural decisions as numbered ADR markdown files in docs/adr/ with context, alternatives considered, consequences, and an index README. Use when the user says 'record this decision' or 'ADR this', chooses between frameworks or databases, discusses trade-offs, or asks why the codebase is shaped this way.

>- Use this when choosing a tool, library, framework, CLI, MCP server, or agent skill for a task: first look in the user's own GitHub stars and in official vendor skill catalogs, then recommend well-known, actively maintained options with reasons.

Analyzes Android apps to identify key user workflows for AppFunctions such as creating a note, playing media, or sending an automated or AI agent triggered message, voice commands, or system shortcuts, without needing to open the app UI. Generates Kotlin code to expose these workflows to the Android system, allowing agents to discover and execute them on-device. Also refines KDoc documentation to ensure AI agents correctly understand and use the provided functionality.

Commit workflow that runs doc-gen first, stages only needed files (asking for confirmation on uncertain ones), suggests a message from the actual diff, commits, shows a summary, and asks about pushing.

Scan a Go project structure and generate/update README.md with package overviews, dependencies, and usage notes.

End-to-end orchestrated workflow that runs a task the way Fable ran sessions - parallel evidence subagents, one committed plan, surgical execution with an intent gate, adversarial verification agents, honest outcome-first report. Use for non-trivial multi-step tasks when the user says "/fable-loop", "run the fable loop", or "do this the way Fable would". For the rules alone without orchestration, use fable-method; for large multi-phase projects, prefer the GSD workflow and use this inside phases.

Update project documentation (CLAUDE.md + .llmdocs/). Use after significant work to keep docs in sync.

Builds the project and pushes a release to the staging host.

Create diagrams as self-contained HTML files with inline SVG that make visual arguments, then screenshot and lint them in a render-validate loop until clean. Use when the user wants to visualize a workflow, architecture, system, process, or concept as a diagram they can open in a browser, embed, or share.

Builds the project and pushes a release to the staging host.

Run the Gate 1 deterministic static check on task bundles before development starts and follow the Gate 2 review checklist. Use when task contracts exist under tasks/ and you need to verify blast radius, diff budget, declared-file topology, traceability anchors, spec anchor coverage, inherited ADRs, machine-checkable acceptance criteria, and DAG acyclicity. Do not use for code execution, CI pipeline construction, AST/complexity checks, or test audits (owned by quality-engineering).

Implement, fix, or refactor project code with a cooperative token-budgeted workflow that stops before optional builds, tests, runs, linting, formatting, generation, dependency work, or documentation. Use for ordinary software changes in any language or framework. Do not use when the user's primary request is to perform one of those validation or maintenance actions.