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debug-orchestrator
A structured 5-step debugging workflow for fixing broken story executions in automated pipelines. It progresses from pattern detection to root cause analysis, API research, fresh model analysis, and systematic debugging before escalating to humans.
task-breakdown
Convert technical designs into actionable, sequenced implementation tasks. Create clear coding tasks that enable incremental progress, respect dependencies, and provide a roadmap for systematic feature development.
indigenous-leader-analyst
Analyzes events through indigenous knowledge systems using relational thinking, seven generations principle, reciprocity, holistic integration, and traditional ecological knowledge frameworks. Provides insights on interconnectedness, long-term sustainability, collective wisdom, and decolonial perspectives. Use when: Environmental decisions, resource stewardship, community governance, decolonization, intergenerational planning. Evaluates: Relationships, sustainability, collective impact, indigenous rights, traditional knowledge integration.
kubernetes-ops
Provides Kubernetes deployment templates, troubleshooting commands, and Helm usage examples. Focuses on practical operations like pod management, log viewing, and common error resolution. Useful for developers managing containerized applications.
core-researcher
This skill automates codebase research by combining file analysis, pattern recognition, and dependency tracking. It provides structured research outputs with specific search patterns and integrates with team coordination through memory sharing. The tool helps developers understand unfamiliar codebases systematically.
project-interview
Guides users through structured interviews to define project specifications, architecture, and tech stack decisions. Creates detailed SPEC.md documents by analyzing existing files and asking targeted questions with researched recommendations.
task-segmentation
This skill automatically breaks down vague tasks into specific, actionable subtasks before work begins. It enforces a strict 2-space indentation format and provides clear segmentation rules with examples for different task types like bug fixes and new features.
discover-zig
A gateway skill that auto-detects Zig programming contexts and provides access to six specialized Zig skills. It uses a progressive loading approach where users first get the gateway, then can browse an index, and finally load specific skills as needed. The structure is modular and avoids loading unnecessary content upfront.
migrate-module
This skill automates migration of research Python modules from a specific SDR_stochastic project into a structured three-layer VRP toolkit. It provides concrete file mappings, step-by-step refactoring guidelines, and handles special cases like notebook conversion. The workflow focuses on extracting hardcoded values and separating problem/algorithm/data layers.
daily.dev
Overcome LLM knowledge cutoffs with real-time developer content. daily.dev aggregates articles from thousands of sources, validated by community engagement, with structured taxonomy for precise discovery.
guideline-generation
This skill generates, creates, or builds brand voice guidelines from source materials. It should be used when the user asks to "generate brand guidelines", "create a style guide", "extract brand voice", "create guidelines from calls", "consolidate brand materials", "analyze my sales calls for brand voice", "build a brand playbook from documents", "synthesize a voice and tone guide", or uploads brand documents, transcripts, or meeting recordings for brand analysis. Also triggers when the user has a discovery report and wants to convert it into actionable guidelines.
earnings-analysis
Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when user requests "earnings update", "quarterly update", "earnings analysis", "Q1/Q2/Q3/Q4 results", or post-earnings report.
openclaw-youtube
YouTube SERP Scout for agents. Search top-ranking videos, channels, and trends for content research and competitor tracking.
solo-validate
Score startup idea through S.E.E.D. niche check + STREAM 6-layer analysis + Devil's Advocate inversion, auto-pick stack, and generate PRD with acceptance criteria. Use when user says "validate idea", "score this idea", "should I build this", "go or kill", "generate PRD", or "evaluate opportunity". Do NOT use for deep research (use /research first) or decision-only framework (use /stream).
jina
Web reading and searching via Jina AI APIs. Fetch clean markdown from URLs (r.jina.ai), web search (s.jina.ai), or deep multi-step research (DeepSearch).
solo-swarm
Launch 3 parallel research agents (market, users, tech) to investigate an idea from multiple angles simultaneously. Use when user says "swarm research", "parallel research", "investigate fast", "3 agents", "team research", or wants faster alternative to /research. Produces research.md. Do NOT use for solo research (use /research) or idea scoring (use /validate).
ralph-loop
Guide OpenClaw agents to execute Ralph Wiggum loops using exec and process tools. Agent orchestrates coding agents (Codex, Claude Code, OpenCode, Goose) with proper TTY support via pty:true. Plans/builds code via PROMPT.md + AGENTS.md, SPECS and IMPLEMENTATION_PLAN.md. Includes PLANNING vs BUILDING modes, backpressure, sandboxing, and completion conditions. Users request loops, agents execute using tools.
solo-pipeline
Launch automated multi-skill pipeline that chains skills into a loop. Use when user says "run pipeline", "automate research to PRD", "full pipeline", "research and validate", "scaffold to build", "loop until done", or "chain skills". Do NOT use for single skills (use the skill directly).
aspire-service-defaults
Create a shared ServiceDefaults project for Aspire applications. Centralizes OpenTelemetry, health checks, resilience, and service discovery configuration across all services.
web-search
Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative
futurist-analyst
Analyzes events through futures lens using scenario planning, trend analysis, weak signals, drivers of change, and forecasting methods (exploratory, normative, backcasting). Provides insights on possible futures, emerging trends, disruptive forces, strategic foresight, and alternative scenarios. Use when: Strategic planning, emerging trends, technology assessment, long-term planning, uncertainty navigation. Evaluates: Trends, weak signals, drivers of change, plausible futures, strategic options, uncertainty ranges.
best-practice-core
Extracts best practices for a topic and formats them as a keyword-only tree structure with strict constraints (max depth 3, 5 children per node). Designed for insertion into task documents as quick reference guides during planning phases before implementation work begins.
obspy-datacenter-client
ObsPy allows you to easily download earthquake data from various data centers/networks through its client API. This is an overview of available services and a demo of the client API for International Federation of Digital Seismograph Networks (FDSN). Use this if you need to download earthquake research data.
resume-tailoring
Use when creating tailored resumes for job applications - researches company/role, creates optimized templates, conducts branching experience discovery to surface undocumented skills, and generates professional multi-format resumes from user's resume library while maintaining factual integrity