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Execute materialized fullstack task files with layer-aware agent routing

Orchestrate the complete implementation lifecycle from requirements to deployment

Create work plan from design document and obtain plan approval

Seven modes for read-only analysis and decision support. Match the request to a mode, then follow that mode's phases.

Frontend: UI design, distinctive visual styles, HTML artifacts, Three.js 3D.

Toolkit management: create and evaluate skills and agents, manage routing tables, generate Claude.md.

Testing: TDD, E2E, preferred patterns, test-value audits, verification, agent testing.

Triggers the WORK-PIPELINE when a user request starts with a [] tag (e.g., [new-feature], [bugfix], [WORK start]). Use this skill whenever you detect a [] tag at the beginning of a user message.

Data-backed email marketing skill for AI agents

Use Ontoly's deterministic Software Graph and MCP server for codebase architecture, request tracing, dependency analysis, and impact analysis.

Use before expensive VidSeeds MCP workflows - seeds, daily MCP call quotas, async jobId polling, when to call vidseeds_get_seed_balance, and avoiding retry loops on MCP_QUOTA_EXCEEDED or insufficient seeds.

Use for VidSeeds MCP project workflows - create a project from YouTube, list/get/snapshot, regenerate metadata (sync or async), translate metadata, apply thumbnails, and update per-platform config before publish.

Use for VidSeeds MCP thumbnail workflows - generate, poll jobs, edit, restyle, Thumbnail Studio (trends, briefs, subjects, overlay text), apply to a project, publish to YouTube, or thumbnails from a local video file via vidseeds-local.

Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows

Build unified multi-level category taxonomy from hierarchical product category paths from any e-commerce companies using embedding-based recursive clustering with intelligent category naming via weighted word frequency analysis.

General workflows and best practices for exoplanet detection and characterization from light curve data

**IMPORTANT**: Any change to React or Next.js code must read through this skill first. React and Next.js guidelines from Vercel Engineering covering visual instability, layout shifts, CLS, flickering, hydration issues, and font loading.

Use when working with Lean 4 (.lean files), writing mathematical proofs, seeing "failed to synthesize instance" errors, managing sorry/axiom elimination, or searching mathlib for lemmas - provides build-first workflow, haveI/letI patterns, compiler-guided repair, and LSP integration

End-to-end pipeline for extracting heart rate (HR) and breathing rate (BR) from raw short-range radar I/Q captures — both continuous-wave (CW, 24 GHz clinical boards) and FMCW mmWave (60/77 GHz, TI IWR/AWR)

Use when working with context management context save

Route ambiguous or mixed Phoenix/LiveView/Ecto requests before choosing a workflow

Recommend safe Bash permissions for Elixir mix commands in settings.json

Recommend safe Bash permissions for Elixir mix commands in settings.json.