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Found 8,743 Skills
Initialize a .spec-driven/ directory in a project. Creates config.yaml and specs/ scaffold, then guides the user to fill in project context.
EMIT phase. Pre-emit debug, write files, post-emit verify from disk. Any new unknown triggers immediate snake back to planning — restart chain.
[BETA] Execute work plans with external delegate support. Same as ce:work but includes experimental Codex delegation mode for token-conserving code implementation.
Analyze a GitHub issue, reproduce the bug, and produce a structured issue analysis artifact.
Run Gemini CLI review against the current branch and report only the review comments that are still valid for the current codebase, without applying fixes.
Vercel Marketplace expert guidance — discovering, installing, and building integrations, auto-provisioned environment variables, unified billing, and the vercel integration CLI. Use when consuming third-party services, building custom integrations, or managing marketplace resources on Vercel.
Create detailed phase plan (PLAN.md) with verification loop
Spec-driven development: plan → go → review loop with spec lifecycle states and a project-level feature ledger. Use for planning features, implementing from specs, refining specs, tracking what features exist across specs, and resuming work. Trigger on requests mentioning specs, requirements/design/tasks, spec-help, spec-plan, feature ledger, FEATURES.md, spec-ledger, `.kiro`. IMPORTANT: Never edit spec files without first reading this skill.
Use when acting as Grunk - reads specs from beads, plans, implements, commits, tags pr-ready. Merged TL+Engineer. Works in loop mode or interactive mode.
Generate interactive AI transformation context-builder prompts for consulting clients. Use when creating structured discovery session prompts that guide a company through context gathering about their business, pain points, tech stack, and AI opportunities. Produces a resumable, multi-section prompt with Express/Deep Dive modes.
Create polished, intentional frontend interfaces. Use this skill when building any UI — dashboards, admin panels, landing pages, marketing sites, or web applications. Routes to specialized guidance based on context.
Set up an LLM-judge evaluation that extracts canonical use cases for a PostHog feature at scale and streams the results to a Slack channel as a live feed. Use when someone wants to understand how users are actually using a specific AI/LLM-powered feature in production — what they're investigating, what questions they're trying to answer, and what patterns surface — without manually reading hundreds of traces. Assumes the feature emits `$ai_generation` and `$ai_evaluation` events with `$session_id` linkage to the trigger user's recording (the standard setup post the session-summary linkage PRs).