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Found 77 Skills
Use ONLY when the user explicitly asks to *create* a new SeeFlow flow — "create a flow", "generate a flow", "scaffold a SeeFlow flow", "add a flow to this repo" — or when a previous `/seeflow-lookup` already reported no matching flow exists. **Do NOT invoke for inspection phrasing** ("show me", "how does X work", "diagram our system", "explain the flow") — those route to `/seeflow-lookup` first; it will auto-hand off here only when nothing is registered. Orchestrates five sub-agents and the `seeflow` CLI to turn a natural-language prompt into a registered, validated SeeFlow flow at `<project>/flow.json` (node-attached files live under `<projectPath>/nodes/<id>/`).
The complete AI web agency toolkit. One skill to run a full client website project — from intake to design to build to deploy. Orchestrates sub-skills and sub-agents for fast, high-quality delivery.
Spawn specialized sub-agents with context handoff for complex multi-phase tasks. Enables expertise delegation within a session with automatic context merging and depth limiting to prevent infinite loops.
Design a module's interface using parallel sub-agents producing radically different designs ("design it twice"). Compare on depth, simplicity, and efficiency. Embedded grill on the synthesized choice. Use when designing a new API, exploring interface options, or deciding the shape of a refactor before writing code.
Use when the user asks to create, generate, or scaffold a SeeFlow flow from a natural-language prompt — "create a flow", "show how X works", "diagram our checkout system", "add a flow to this repo". Orchestrates four sub-agents and bun scripts to write a registered, validated flow under <project>/.seeflow/<slug>/.
Use when tasks are complex and require full microservices collaboration: The main agent acts as a pure Orchestrator, strictly prohibited from writing code personally, and is responsible for accurately assigning responsibilities such as positioning, planning, coding, testing, and review to corresponding sub-agents (explorer, planner, worker, verifier, reviewer, fixer). This Skill enforces microservices workflow discipline, requiring full Chinese communication, minimal routing output, and minimized context transfer.
Use when the user asks for a broad codebase review, substantial PR/branch review, architecture audit, tech-debt scan, cleanup assessment, structural sanity check, or design-alignment review. Default workflow: use sub-agents when available unless specifically forbidden; do not require the user to mention sub-agents, council mode, delegation, or parallel review. Focus on cruft, duplication, weak boundaries, missed reuse, lifecycle/concurrency risks, test/roadmap drift, and code aesthetics. Do not use for narrow bug fixes, ordinary small-diff reviews, frontend visual QA, repo-onboarding docs, or OpenAI Agents SDK production-readiness review. Output evidence-backed findings first, then pressure points, design alignment, open questions, and follow-through.
Review changes starting from a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (Does the code comply with the coding standards documented in this repository?) and Spec (Does the code meet the requirements from the source issue/PRD?). The two reviews run in parallel sub-agents and report side by side. This applies when users want to review a branch, PR, in-progress changes, or request a "review since X".
Execute individual plan phases as background sub-agents for context-efficient implementation.
Canonical Claude Code authoring kit covering Skills, sub-agents, plugins, slash commands, hooks, memory, settings, sandboxing, headless mode, and advanced agent patterns. Use when creating Claude Code extensions or configuring Claude Code features.
Provides information about how to create, structure, install, and audit Agent Skills, Plugins, Antigravity Workflows, and Sub-agents. Trigger this when specifications, rules, or best practices for the ecosystem are required.
Self-improving browser automation via the auto-research loop. Iteratively runs a browsing task, reads the trace, and improves the navigation skill (strategy.md) until it reliably passes. Supports parallel runs across multiple tasks using sub-agents. Use when you want to build or improve browser automation skills for specific website tasks.