service-design-ingest
Use when you have new source material (transcripts, interviews, support logs, docs, code changes) and want to reason about what existing service design artifacts need updating
What this skill does
# Service Design Ingest **Core principle:** New evidence updates understanding. Process source material and propose specific, traceable updates to existing artifacts. ## Accept and Classify Accept pasted content, file paths, or URLs. Classify before processing: | Source type | What it typically reveals | |-------------|-------------------------| | **Transcript / interview** | User mental models, emotions, language, unmet expectations | | **Support log** | Failure points, recovery paths, frequency signals | | **Ops runbook / code change** | Backstage process shifts, new constraints | | **Business doc** | Strategic intent, success metrics, org priorities | | **User feedback** | Peak moments, information gaps | ## Process — Sequential 1. Read the source material in full — ingest, don't summarize. 2. Read existing artifacts for the relevant slice(s) (`docs/service-design/<slice>/`). 3. Extract claims: what does this tell us about customer actions, emotions, backstage processes, fail points, or mental models? 4. Classify each claim against existing artifacts: | Classification | Meaning | Action | |---------------|---------|--------| | **Confirm** | Evidence supports an existing `[hypothesis]` | Upgrade to `[confirmed]`, cite source | | **Contradict** | Evidence conflicts with an existing entry | Downgrade or flag `[gap]`, explain conflict | | **Extend** | Elaborates on an existing entry | Propose addition with confidence tag | | **Novel** | No match in existing artifacts | Propose where it belongs | 5. For each update, state: artifact file, section, current text, proposed text, why (with source reference). 6. Optionally save source material to `docs/service-design/<slice>/sources/` for traceability. ## Confidence Is the Job The most important output is confidence movement: `[hypothesis]` → `[confirmed]`, or `[confirmed]` → `[gap]` when evidence contradicts. Every ingest should strengthen or challenge what's already written. ## Do Not Auto-Apply Present proposed updates for human review. The human decides what to accept. ## Related Artifacts Every sibling skill produces artifacts this skill updates: `service-design:service-blueprint`, `service-design:empathy-analysis`, `service-design:journey-map`. Run ingest first, then the relevant skill to incorporate accepted changes.
Related in Design
contribute
IncludedLocal-only OSS contribution command center. Auto-refreshes the user's in-flight PR and issue state on invoke so conversations start with full context — no need to brief Claude on what's in flight. Helps the user find issues to contribute to on GitHub, builds per-repo dossiers of what each upstream expects (CLA, DCO, branch convention, AI policy, draft-first, review bots, issue templates), runs deterministic gates before any external action so AI-assisted contributions don't reach maintainers as slop. State is markdown-only: candidate files at ~/.contribute-system/candidates/, repo dossiers at ~/.contribute-system/research/, append-only event log at ~/.contribute-system/log.jsonl. No database, no cloud calls. Use when the user asks about their PRs / issues / contributions, wants to find new work to take on, claim an issue, build/refresh a repo's dossier, or draft a Design Issue or PR. Trigger with "/contribute", "what's my PR status", "find a contribution", "claim issue X", "draft a Design Issue for Y", "refresh dossier for Z".
architectural-analysis
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mcp
IncludedModel Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
react-native-skia
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plaid
IncludedProduct Led AI Development — guides founders from idea to launched product. Six capabilities: Idea (discover a product idea), Validate (pressure-test the idea against fatal flaws, problem reality, competition, and 2-week MVP feasibility), Plan (vision intake + document generation), Design (translate image references into a design.md spec), Launch (go-to-market strategy), and Build (roadmap execution). Use when someone says "PLAID", "plaid idea", "help me find an idea", "product idea", "idea from my business", "idea from my expertise", "plaid validate", "validate my idea", "pressure-test", "is this idea good", "find fatal flaws", "validate the problem", "plan a product", "define my vision", "generate a PRD", "product strategy", "plaid design", "design from image", "translate image to design", "create design.md", "extract design tokens", "plaid launch", "go-to-market", "launch plan", "GTM strategy", "launch playbook", "plaid build", "build the app", "start building", or "execute the roadmap".
nextjs-framer-motion-animations
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