migrate-optimizely

Analyze a user's project and propose a meaningful feature flag change using Confidence. Use when the user says /analyze-project, asks what to flag, wants flag suggestions, or asks "what should I feature-flag in my project?"

Explore and preview metrics for any event or fact table. Generates a pre-filled Metric Explorer URL with fact table, entity, exposure table, metric kind, and aggregation — so the user can click through to the UI, hit Calculate, and create the metric. Use when the user asks to explore a metric, preview a metric, create a metric from an event, or says /explore-metric.

Analyze a project's codebase, identify what events to track alongside the metrics they'd power, create event definitions in Confidence with entity references (so fact tables are auto-created), add SDK track() calls, and verify the pipeline. Use when the user asks to instrument events, add tracking, set up event tracking, analyze what to track, or wants to measure experiment impact. For metric preview and creation, see the explore-metric skill.

Migrate feature flags from Eppo to Confidence SDK. Use when the user says /migrate-eppo, asks to migrate Eppo flags, or transform SDK code to Confidence.

Migrate feature flags from PostHog to Confidence SDK. Use when the user says /migrate-posthog, asks to migrate PostHog flags, or transform SDK code to Confidence.

Migrate feature flags from Statsig to Confidence SDK. Use when the user says /migrate-statsig, asks to migrate Statsig gates/configs/experiments, or transform SDK code to Confidence.

Dry-run the Confidence onboarding flow to test UX without real API calls. Use when the user says "dry run", "test onboarding", "demo onboarding", or wants to preview the onboarding experience.

Create Confidence accounts and onboard users. Use when the user asks to create an account, invite users, onboard to Confidence, or check account status.

Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.

Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.

Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".

Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.

This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management" — in a project that needs ADK (Agent Development Kit) API patterns and code examples. It provides a quick reference for agent types, tool definitions, orchestration patterns, callbacks, state management, the graph Workflow API, and reference recipes to study. Do NOT use for scaffolding (use google-agents-cli-scaffold) or deployment (use google-agents-cli-deploy).

Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude Code.

Generate AI music on RunComfy via the `runcomfy` CLI — a smart router across the music-model catalog. Routes to ElevenLabs AI Music Generation (premium 44.1 kHz stereo vocal tracks, 5 s–5 min, $0.0083/s) and ACE Step / ACE Step 1.5 (StepFun-AI open-weights, tag-driven composition, multilingual lyrics, $0.0002–0.0003/s, ~27× cheaper), plus ACE Step audio-inpaint (regenerate a time range inside an existing track) and ACE Step audio-outpaint (extend a track before or after). Picks the right model for the user's actual intent — premium vocal hook, cheap background music library, multilingual pop song, repair a bad chorus, lengthen a 30 s draft into a 2 min cut — and ships each model's documented prompting patterns plus the minimal `runcomfy run` invoke. Triggers on "generate music", "make a song", "AI music", "background music", "instrumental track", "soundtrack", "jingle", "theme music", "royalty-free music", "compose", "music with lyrics", "extend music", "fix this song", "inpaint music", or any explicit ask to generate or edit music.

创建 lark-cli 的自定义 Skill。当用户需要把飞书 API 操作封装成可复用的 Skill（包装原子 API 或编排多步流程）时使用。