Author a NEW skin for the reskinnable-demo app. A skin is a self-contained domain plugin under src/skins/ / that implements the frozen Skin contract (src/shell/skin-contract.ts) to swap the app's entire experience — brand, theme, layout, pages, tools, data, and agent — as a live sales demo. Use when the user says "add…
Use for the CODE half of a managed Intelligence Channel with Slack or Microsoft Teams: customising the Channel a CLI-scaffolded project already ships, or — for a project the CLI did not generate — writing the Channel declaration, the long-running host, and the awaited activation call. Teams provider setup is in scope…
Use when adding CopilotKit to an existing project or bootstrapping a new CopilotKit project from scratch. Covers framework detection, package installation, runtime wiring (managed Intelligence or self-hosted SSE), provider setup, and first working chat integration.
UI mockups, dashboards, advanced interactivity, generative art, simulations, math visualizations, and design system rules for producing rich generateSandboxedUi output.
Design or substantially improve a landing page for tinte. Use when building a marketing site, hero section, product page, pricing page, or any page whose job is to make a first-time visitor understand and want the product. Carries tinte composition rules, type scale, voice, and token API.
Generate code screenshots via ray.tinte.dev API. Use when user asks for code screenshots, code images, code snippets as images, or says "ray". Calls POST https://ray.tinte.dev/api/v1/screenshot and saves the PNG result.
Agent-native design system infrastructure. Browse, install, and preview design systems from tinte.dev. Use when user asks about themes, design systems, presets, color palettes, or says "tinte". Works with shadcn/cli v4 presets and registries.
Automatically generate production-ready Skills for any software, API, CLI tool, library, workflow, or service. Use this skill whenever the user wants to create a skill from scratch for a target application, convert an existing tool into an agent-native skill, generate skills for multiple platforms (Claude Code…
Use when the user asks to run a full empirical / causal analysis in Python — by default in the style of an applied economics paper (AER / QJE / JPE / ReStud / AEJ) with DID / RD / IV / SCM / DML / matching, written-out estimating equation + identifying assumption, Table 1 / Table 2 / event-study figure / robustness…
Analyzes captured HTTP traffic, designs the CLI architecture, and implements the Python CLI package (Phase 2): parse raw-traffic.json, identify the protocol, write api-spec.json, scaffold from templates, and implement endpoint methods and Click command groups. Use after a capture completes and raw-traffic.json exists.
Runs Phase 4 review/publish/verify for a cli-web- CLI: implementation review by 3 parallel agents, the tiered quality checklist (Tier 1 critical fail-fast, then comprehensive), pip install + smoke test, and per-CLI skill generation. Use when a CLI's tests pass and it is ready to be validated and published.
Writes and documents the test suite for a generated cli-web- CLI (Phase 3): unit tests with mocked HTTP, live E2E tests, subprocess tests via resolvecli, and the TEST.md plan/results record. Use after the methodology skill completes implementation.
Use when a Piyaz project exists with a description but few or no tasks, and the user wants it broken into an implementable graph (project-level decomposition). Triggers: "decompose", "break this down", "create tasks", "turn this into tasks", "give me a task list", "plan out the work", "how should I build this". Do not…
Use when the user wants to plan, decompose, track, or resume a multi-task project: scoping a new idea, importing or onboarding an existing repo or workspace, asking what to work on / what's next / what's blocked / where they left off, reporting task completion, dispatching work in parallel, or planning a draft task.…
Dispatched after a task lands at inreview to produce a structured CTO-grade verdict on the work and its PR. Two invocation paths: composer Phase 4 (orchestrator dispatches after the implementer's inreview write, surfaces the verdict to HOTL, stops), and direct mode from the piyaz skill on requests ("review VF-N"…
Add a new subpath export to the @cyanheads/mcp-ts-core package. Use when creating a new public API surface that consumers import from a dedicated subpath (e.g., @cyanheads/mcp-ts-core/newutil).
Add a new storage or service provider to the core package. Use when implementing a new backend for StorageService (e.g., a new database) or a new service provider (e.g., a new LLM backend).
Design the tool surface, resources, and service layer for a new MCP server. Use when starting a new server, planning a major feature expansion, or when the user describes a domain/API they want to expose via MCP. Produces a design doc at docs/design.md that drives implementation.
A code-quality checking guide built around linting, type checking, and architecture checks. Linting finds issues such as unused variables, while type checking catches incorrect data types.
A routing guide for choosing among Mandu's many coding-agent tools and workflow instructions. Mandu is a project system with tools for creating features, checking edits, debugging, refactoring, and deploying.
An automatic verification workflow for the Mandu project that runs after edits, generated files, or before a commit. It checks generated behavior, architecture rules, code quality, and project structure in parallel.
The brain is one Postgres-backed store over your books, your relationships, and your memory. It has four retrieval tiers and one synthesis verb. You reach it through the brain. tools — and so can external AI tools, over MCP.