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Found 867 Skills
Technical due diligence for M&A, investment, or acquisition. Reads a target company's codebase and generates a comprehensive tech DD report with architecture assessment, tech debt quantification, scalability analysis, security posture, team capability inference, build system quality, test coverage, deployment maturity, and open source license risks. Outputs tech-dd-report.md formatted like a real investment memo with risk ratings, remediation costs, and go/no-go recommendation.
Create Xmind mind maps with generated topic images via a contact-sheet workflow. Requires an image generation capability (built-in for Codex / Gemini CLI, or an external image API). Use for illustrated maps; for text-only maps, use xmind-file.
Manage .facts files — atomic, validatable truth statements about a project. Install, check, list, add, edit, remove, and lint facts via the CLI. ALWAYS read this skill when the user mentions facts in any capacity.
Discover and cache all installed ComfyUI models, custom nodes, and system capabilities. Works online (API queries) and offline (directory scanning). Use before generating workflows to verify available resources.
Specification and SDK for creating Agent Skills - a standard format for giving AI agents new capabilities through discoverable instruction bundles
This skill should be used when the user asks about enterprise strategy, corporate strategy, business unit strategy, portfolio prioritization, strategic roadmap, growth strategy, diversification, operating model, capability map, strategic initiative, enterprise transformation, board strategy, scenario planning, or competitive positioning at enterprise level. Guides corporate and BU strategy, portfolio prioritization, growth and diversification, market positioning, operating model and capabilities, transformation roadmaps, M&A/partnership/divestiture framing (strategy—not legal DD), scenarios, executive alignment, and KPI trees—not product backlog or program RAID (technical-program-manager), financial models only (financial-analyst), contracts (commercial-counsel), cloud or system architecture alone (enterprise-cloud-architect, senior-system-architecture), or consulting workshops without enterprise portfolio scope (business-consultant).
Build and operate predictive models for logistics networks—demand forecasting at SKU/location/lane granularity; inventory positioning and safety stock optimization interfaces; ETA and lead-time prediction; capacity and congestion signals; route and network flow forecasting at model-integration level; cold chain and perishables; promotion and seasonality; model monitoring, drift, and backtesting against operational KPIs (fill rate, OTIF, WMAPE/MAPE). Use for predictive logistics, demand forecasting logistics, ETA prediction, inventory positioning, safety stock optimization, OTIF forecast, lane demand, WMAPE, logistics ML, capacity forecasting logistics, or cold chain forecast—not pure OR/MIP without logistics domain (operations-research-algorithm-developer), supply chain strategy only (supply-chain-manager), WMS feature dev (wms-developer), fleet telematics ingestion (geospatial-telematics-developer), generic ML without logistics (data-scientist), or EDI document mapping (edi-engineer).
Trigger this skill when building applications with Gemma or for general knowledge inquiries related to Gemma models (e.g. prompt structure, capabilities). Covers model selection, development workflows, and deployment best practices.
Use when users need Rust quantitative SDK or TQSDK Rust capabilities: real-time market data/quote/market depth/K-line/tick, product/contract list, main continuous contract/continuous contract, option chain, contract specification, metadata/direct query, historical data download/cache/CSV/Greeks, trading account/order placement/order cancellation/order status, TargetPosTask/risk control/multi-account/strategy execution, low-latency trading desk, stream/fan-out, replay/backtest/live-sim-replay; also applicable when agents need real-time or historical quantitative data, transaction execution substrate, or trading desk capabilities, even if TQSDK is not explicitly mentioned.
Delegation mode for open-code-review (OCR). Instead of OCR calling an LLM endpoint, this skill instructs the host agent to perform the code review itself, using OCR only for deterministic engineering: file selection and rule resolution. Use when the host agent should drive the review with its own LLM capabilities.
Coordinates skills, frameworks, and workflows throughout the project lifecycle using pattern-based sequencing, goal decomposition, phase-gate validation, and multi-agent orchestration. Use when starting multi-phase projects, sequencing frameworks, decomposing goals into capability plans, validating phase-gate readiness, coordinating subagents, or designing MCP-based tool orchestration.
When the user wants to create, optimize, or audit features page content. Also use when the user mentions "features page," "product features," "capabilities," "what it does," "feature list," "feature comparison," "product capabilities," or "features section."