Topic: ai-development
392 skills in this topic.
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batch-complete
Complete or cancel multiple items at once — close out features, clean up old work, archive completed workstreams. Use when a user says "close out this feature", "complete everything under X", "cancel this workstream", "clean up old items", "bulk complete", "finish this feature", or "archive completed work".
jpicklyk/task-orchestrator 177
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session-retrospective
Analyze the current implementation run — evaluate schema effectiveness, delegation alignment, note quality, plan-to-execution fit. Captures cross-session trends and proposes improvements when patterns repeat. Use after implementation runs, or when user says 'retrospective', 'session review', 'what did we learn', 'analyze this run', 'how did that go', 'evaluate our process', 'wrap up', 'end of session review'. Also use when the output style's retrospective nudge fires after complete_tree.
jpicklyk/task-orchestrator 177
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work-summary
jpicklyk/task-orchestrator 177
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spec-quality
Specification quality framework for planning. Defines the minimum bar for what a plan must address — alternatives, non-goals, blast radius, risk flags, and test strategy. Referenced by schema guidance fields during queue-phase note filling. Read this skill whenever filling requirements or design notes for any MCP work item.
jpicklyk/task-orchestrator 177
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schema-workflow
Guide an MCP work item through its schema-defined lifecycle — filling required notes using guidancePointer and advancing through gate-enforced phases. Internal skill triggered by hooks and output styles during orchestration workflows. Use when an item has schema tags and needs to progress through queue, work, review, or terminal phases with note gates.
jpicklyk/task-orchestrator 177
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manage-schemas
Create, view, edit, delete, and validate note schemas for the MCP Task Orchestrator in .taskorchestrator/config.yaml — the templates that define which notes agents must fill at each workflow phase. Use when user says "create schema", "show schemas", "edit schema", "delete schema", "validate config", "what schemas exist", "add a note to schema", "remove note from schema", or "configure gates".
jpicklyk/task-orchestrator 177
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review-quality
Review quality framework for the work-to-review transition gate. Guides verification of plan alignment, test quality, and code simplification before marking implementation complete. Referenced by schema guidance fields during review-phase note filling. Read this skill when filling review-checklist notes or when asked to review completed implementation work.
jpicklyk/task-orchestrator 177
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status-progression
Navigate role transitions for MCP work items using advance_item. Shows current role, gate status, required notes, and the correct trigger to use. Use when a user says "advance this item", "move to work", "start this task", "complete this item", "what's the next status", "why can't I advance", "unblock this", "cancel this item", or "check gate status".
jpicklyk/task-orchestrator 177
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create-item
Create an MCP work item from conversation context. Scans existing containers to anchor the item in the right place (Bugs, Features, Tech Debt, Observations, etc.), infers type and priority, creates single items or work trees, and pre-fills required notes. Use this whenever the conversation surfaces a bug, feature idea, tech debt item, or observation worth tracking persistently. Also use when user says "track this", "log this bug", "create a task for", or "add this to the backlog".
jpicklyk/task-orchestrator 177
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prepare-release
End-to-end release automation — reads commits since last tag, infers semver bump, drafts changelog, creates release PR, merges it, waits for CI green, tags, and monitors the Docker build to completion.
jpicklyk/task-orchestrator 177
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feature-implementation
Guide the full lifecycle of a feature-implementation tagged MCP item (the feature container) — from queue through review
jpicklyk/task-orchestrator 177
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post-plan-workflow
Internal workflow for post-plan materialization — creates MCP items from the approved plan and dispatches implementation. Triggered automatically after plan approval when MCP tracking is active.
jpicklyk/task-orchestrator 177
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dependency-manager
Visualize, create, and diagnose dependencies between MCP work items. Use when a user says "what blocks this", "add a dependency", "show dependency graph", "why can't this start", "link these items", "unblock this", "remove dependency", or "show blockers".
jpicklyk/task-orchestrator 177
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pre-plan-workflow
Internal workflow for plan mode — checks MCP for existing work, note schemas, and gate requirements to set the definition floor before planning begins. Triggered automatically when entering plan mode for any non-trivial implementation task.
jpicklyk/task-orchestrator 177
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task-dependency-patterns
Task Management patterns with TaskCreate, TaskUpdate, TaskGet, TaskList tools. Decompose complex work into trackable tasks with dependency chains. Use when managing multi-step implementations, coordinating parallel work, or tracking completion status.
yonatangross/orchestkit 143
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python-backend
Python backend patterns for asyncio, FastAPI, SQLAlchemy 2.0 async, and connection pooling. Use when building async Python services, FastAPI endpoints, database sessions, or connection pool tuning.
yonatangross/orchestkit 143
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brainstorm
Design exploration with parallel agents. Use when brainstorming ideas, exploring solutions, or comparing alternatives.
yonatangross/orchestkit 143
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design-system-tokens
Design token management with W3C Design Token Community Group specification, three-tier token hierarchy (global/alias/component), OKLCH color spaces, Style Dictionary transformation, and dark mode theming. Use when creating design token files, implementing theme systems, managing token versioning, or building design-to-code pipelines.
yonatangross/orchestkit 143
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design-to-code
Mockup-to-component pipeline using Google Stitch, 21st.dev, and Storybook MCP. Accepts screenshots, descriptions, or URLs as input and produces production-ready React components. Checks existing Storybook components before generating, orchestrates design extraction via Stitch MCP, component matching via 21st.dev registry, adaptation to project design tokens, and self-healing verification via run-story-tests. Use when converting visual designs to code, implementing UI from mockups, or building components from screenshots.
yonatangross/orchestkit 143
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remember
Stores decisions and patterns in knowledge graph. Use when saving patterns, remembering outcomes, or recording decisions.
yonatangross/orchestkit 143
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web-research-workflow
Unified decision tree for web research and competitive monitoring. Auto-selects WebFetch, Tavily, or agent-browser based on target site characteristics and available API keys. Includes competitor page tracking, snapshot diffing, and change alerting. Use when researching web content, scraping, extracting raw markdown, capturing documentation, or monitoring competitor changes.
yonatangross/orchestkit 143
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multimodal-llm
Vision, audio, video generation, and multimodal LLM integration patterns. Use when processing images, transcribing audio, generating speech, generating AI video (Kling, Sora, Veo, Runway), or building multimodal AI pipelines.
yonatangross/orchestkit 143
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multi-surface-render
Multi-surface rendering with json-render — same JSON spec produces React components, PDFs, emails, Remotion videos, OG images, and more. Covers renderer target selection, registry mapping, and platform-specific APIs (renderToBuffer, renderToStream, renderToFile). Use when generating output for multiple platforms, creating PDF reports, email templates, demo videos, or social media images from a single component spec.
yonatangross/orchestkit 143
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competitive-analysis
Porter's Five Forces, SWOT analysis, and competitive landscape mapping. Use when analyzing market position, evaluating competitive threats, building battlecards, or assessing industry dynamics.
yonatangross/orchestkit 143