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Found 4,624 Skills
Open a new internal investigation matter — runs intake, generates the sources checklist, and creates the persistent investigation log. Use when a complaint or allegation comes in and the attorney needs to stand up a privileged investigation workspace.
Build and maintain project-specific review policy for `agentic-review` by combining repository docs (`AGENTS.md`, `ENGINEERING.md`, `CONTEXT.md`/`CONTEXT-MAP.md`, ADRs), repository-mined conventions, and structured user input, then writing machine-usable policy files under `<docs-dir>/review/policies/`, including audit-governance metadata consumed by `agentic-review`. Use when the user wants architecture integrity checks (onion/clean/hexagonal), module-specific review rules, dependency-direction policy, naming/inheritance convention enforcement, stricter project/domain review standards, or explicit auditability requirements for specialist review coverage.
AKShare is an open-source financial data interface library that provides full-category financial data including stocks, futures, options, funds, foreign exchange, bonds, indices, and cryptocurrencies; it is used when users need to obtain various financial market data
Encrypted credential vault keyed off the agent's Alien Agent ID private key. Store, retrieve, list, and remove external-service credentials (GitHub PAT, Slack token, AWS keys, etc.) without ever hardcoding secrets. Use when the user asks to save, fetch, or remove a service credential, or whenever a downstream tool needs an external-service secret that should not appear in shell history, source files, or process arguments.
Infrastructure-as-Code fundamentals for data engineering using Terraform to provision AWS resources (S3, EC2, IAM)
Infrastructure-as-Code fundamentals for data engineers using Terraform to provision AWS resources (S3, EC2, IAM)
Deploy to 9 cloud providers — AWS, Vercel, Netlify, Railway, Fly.io, Heroku, DigitalOcean, Linode, Cloudflare. Provider selection, deployment patterns, cost comparison.
Verify claims in agent responses against sources using semantic similarity and web fact-checking.
AI Agent learning roadmap and curated resources for building production-ready agents with modern patterns like Claude Code, OpenClaw, skills, MCP, and evaluation
Use when doing upstream market-research methodology — sizing a market as TAM/SAM/SOM computed BOTH top-down and bottoms-up (never a single unsourced number), planning a survey sample size with finite-population correction and per-segment minimums, or scoring candidate market segments against Kotler's measurable/substantial/accessible/differentiable/actionable criteria. Outputs always show the method and the assumptions. For market-research analysts and product-marketing at the sizing/survey/segmentation moment. Distinct from marketing-skill (campaign analytics, attribution, demand-gen) — this is the evidence-building methodology, not live-campaign optimization.
Research what people are actually saying about a topic in the last 30 days across Reddit, X / Twitter, YouTube, Hacker News, dev.to, Medium, and other public discourse platforms. API-free; uses WebSearch with platform-targeted site operators plus recency filters. Produces DISCOURSE.md (a structured brief) and JSON output the writer can consume. Complements blog-researcher (which focuses on authority sources) with a recency-and-engagement lens. Use when user says "blog discourse", "discourse research", "what are people saying about", "research what people are saying", "voice of customer", "social listening", "30-day research", "trend research", "what's the discussion on", "real-time research", "practitioner discourse", "/blog discourse".
Router skill for LLMQuant Data primitive workflows. Use when the user needs SEC filings, 13F holders, macro snapshots, or source-grounded macro briefs.