Foundational GraphQL patterns covering schema design, queries, mutations, subscriptions, and resolvers. Use when building or consuming GraphQL APIs. This is the entry point for GraphQL development.

Complete guide for building agents and workflows in LangConfig. Use when users need help configuring nodes, connecting agents, setting up tools, or designing multi-agent systems within the LangConfig platform.

Human-in-the-loop integration for LangGraph workflows with approval and intervention points

Build production-grade agentic workflows with LangGraph using graph-based orchestration, state machines, human-in-the-loop, and advanced control flow

Expert guidance for LangGraph Python library. Build stateful, multi-actor applications with LLMs using nodes, edges, and state management. Use when working with LangGraph, building agent workflows, state machines, or complex multi-step LLM applications. Requires langgraph, langchain-core packages.

Design and implement multi-agent workflows with LangGraph 0.2+ - state management, supervisor-worker patterns, conditional routing, and fault-tolerant checkpointing

Deploy and manage Lark (Feishu) bot for Milady meme generation, command handling, and team collaboration. Use when setting up Lark webhooks, handling bot commands, deploying to production, or integrating with Lark messaging.

Use when evaluating ICP fit, buying intent, and routing priority for new leads.

Transform "I want to learn X" into actionable learning roadmaps using metalearning principles: identify the critical 20%, build expert vocabulary, sequence logically (why before how), prioritize curre

Process learning resources from markdown files, extract content, identify clusters, and create Ship-Learn-Next learning paths

Transform textbook chapters into engaging, evidence-based lectures with Google Slides. Guides instructors through learning outcomes, narrative design, active learning activities, and slide creation via Google Docs MCP.

Transform legacy codebases into AI-ready projects by generating Claude Code configurations.

Converts hierarchical legislative text from Word documents into a flat list of requirements. Use when processing regulatory documents, compliance frameworks, or legal text that needs to be extracted into individual, numbered requirements for analysis or mapping.

Orchestrates full decomposition (scope → Epics → Stories) by delegating ln-210 → ln-220. Sequential Story decomposition per Epic. Epic 0 for Infrastructure.

Write titles that describe the problem or outcome:

Displays all architecture team members and their expertise areas.

This skill enables systematic academic literature search and analysis for creating high-quality WeChat content. It provides workflows for finding relevant research papers, extracting key insights, and

Orchestrates task operations. Analyzes Story, builds optimal plan (1-6 implementation tasks), delegates to ln-301-task-creator (CREATE/ADD) or ln-302-task-replanner (REPLAN). Auto-discovers team ID.

Load conductor workflow state from previous session and determine resumption point by analyzing git state and saved JSON state file

Searches logs by content keywords, patterns, and filters with context extraction

This skill provides guidance for analyzing log files across date ranges and producing summary statistics. Use when tasks involve parsing log files, counting log entries by severity (ERROR, WARNING, INFO), aggregating by date ranges (today, last N days, month-to-date), or producing CSV reports from log data.

Essential knowledge about Logseq DB (database) graphs. Use this skill when working with Logseq DB to ensure accurate understanding of nodes, properties, tags, tasks, and queries. This corrects common misconceptions from file-based Logseq that do NOT apply to DB graphs.

(Kitchen Sink) Process a YouTube video with all features (summary, Q&A, infographic, audio, and video).

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Gebruik deze skill wanneer de gebruiker hulp nodig heeft bij het ontwerpen of verbeteren van software of webapplicaties — van probleemdefiniëring tot interactieontwerp en visuele uitwerking. Activeer bij verzoeken zoals 'ontwerp een nieuwe pagina of flow', 'hoe moet dit werken voor de gebruiker', 'maak dit component of scherm beter', 'ik heb een formulier/dashboard/checkout nodig voor X', 'deze interface voelt niet goed', 'kun je dit herontwerpen', 'help me met de UX hiervan', of 'welke schermen heb ik nodig voor dit proces'. Gebruik ook wanneer de gebruiker code, een screenshot of een beschrijving deelt en vraagt om UX- of UI-verbeteringen — zelfs als ze het woord 'ontwerp' niet gebruiken. Twijfel je? Als het verzoek gaat over hoe een gebruiker iets ervaart, begrijpt of afrondt, gebruik dan deze skill.

notes-processor

When this skill is invoked, follow these steps **in order**:

Use this skill any time the user wants to work with Sandstorm agent stacks. This includes: creating, spinning up, or starting stacks; dispatching tasks or work to an inner Claude agent in a stack; checking stack status, task progress, or whether a task is done; viewing diffs, changes, or task output from a stack; pushing or publishing code changes from a stack to git; tearing down, cleaning up, or removing stacks; viewing container logs. Trigger whenever the user mentions 'stack' with a number or ID (like 'stack 1', 'stack 2', 'stack 3'), says 'sandstorm', refers to an 'isolated environment' for development, or asks to send work to an agent. Also trigger for multi-stack operations and any reference to agent workspaces. Do NOT trigger for general Docker, docker-compose authoring, CI/CD pipelines, or direct code editing unrelated to stacks.

Streamlit portal design and implementation for GeoSupply — admin dashboard, supply chain risk maps, cost visualization, agent health monitoring, override management, and end-user intelligence portal.

Use when adding a full-stack analytics/usage-tracking feature to a FastAPI + React project. Provides backend models, middleware, aggregation service, API routes, and a polished enterprise-grade React dashboard with charts, KPI cards, and user activity tables.

Team capacity = (# engineers) × (days in sprint) × (focus factor 0.6-0.8)

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Comprehensive design guide for web and mobile applications. Contains 67 styles, 161 color palettes, 57 font pairings, 99 UX guidelines, and 25 chart types across 16 technology stacks.

Ingest KUKA PDFs (manuals, application notes, training material, error code refs) from kuka_dataset/raw_sources/ into normalized knowledge entries under kuka_dataset/normalized/. Use when new PDFs are added or when re-ingesting after schema updates.

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Helps with idea overload and prioritization. **Capture first, triage later** — keep a local backlog before promoting to GitHub. Prevents losing ideas without the friction of creating issues for half-b

UI/UX design intelligence with searchable database

INVOKE THIS SKILL when implementing human-in-the-loop patterns, pausing for approval, or handling errors in LangGraph. Covers interrupt(), Command(resume=...), approval/validation workflows, and the 4-tier error handling strategy.

Compose multi-agent systems with SequentialAgent, ParallelAgent, and LoopAgent. Use when building agent pipelines, parallel workflows, or iterative loops.

Reconcile one active execution slice, optionally execute owner-chain routing, and persist checkpointed resume context for one-slice acceleration.

Turn user interviews into actionable insights. Advanced synthesis techniques and frameworks.

'Analyze a screen recording of a manual process and produce targeted, working automation scripts. Extracts frames and audio narration from video files, reconstructs the step-by-step workflow, and proposes automation at multiple complexity levels using tools already installed on the user machine.'

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Build and scale developer-led adoption through ecosystem programs. Use when deciding open vs curated ecosystems, building developer programs, scaling platform adoption, or designing student program pipelines.

Build and scale partner ecosystems that drive revenue and platform adoption. Use when building partner programs from scratch, tiering partnerships, managing co-marketing, making build-vs-partner decisions, or structuring crawl-walk-run partner deployment.

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Build, configure, and deploy iOS applications using XcodeGen and Swift Package Manager.

Two-phase correction pipeline: deterministic dictionary rules (instant, free) followed by AI-powered error detection. Corrections accumulate in `~/.transcript-fixer/corrections.db`, improving accuracy

A systematic approach to designing the tiny, contained product moments that users interact with every day -- toggles, password fields, loading indicators, pull-to-refresh, like buttons. Based on Dan S

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