Progressive-disclosure instructions an agent loads on demand. Cheap until invoked, which is why the per-session figure on each card is usually two digits.
On-device, zero-token vision for AI agents (mac-local-vision, macOS). Read text from an image / screenshot / PDF (OCR), find the exact click-pixel of a word for E2E/UI assertions, scan QR codes and barcodes, tag/classify an image, group photos by face, flatten a photographed document, extract a document's structured…
Alignment conversation starting from a user's rough idea. Co-decides with the user whether the idea should be acted on directly in the current session, or fixed into a formal Task by producing four documents in .task/ for independent dispatch. Handles lightweight 'do it now while we talk', heavyweight 'define…
Distill a reference into reusable mechanisms instead of copying surface style. Keep new results unreviewed by default, separate capture from reuse approval, and hand only public-safe, scope-matched outputs to implementation.
Build, validate, or repair Adaptive Card layouts, actions, forms, and delivery wrappers for Microsoft Teams. Use when Teams is the target host, including bot, webhook, Graph, and MessageCard migration tasks. Exclude Windows/custom card hosts and Teams text-only formatting.
Drive a browser from an OpenClaw machine. Companion to the browser-harness skill — explains the OCM-specific bridge proxy, the readiness check you must run first, and how pairing works. Start here before writing any browser code.
A web security audit system for PHP, Java, .NET, and Node.js applications. It identifies the technology used, checks code and runtime behaviour for common weaknesses, and documents fixes.
Use when handing off an in-progress session to another agent or a future session — ending a session with unfinished work, "pick up where I left off", passing a task to a fresh agent/another window/codex, running low on context, or persisting intent + learnings before context is lost. Covers both dropping a baton…
Create publication-grade scientific figures and analysis deliverables from tabular data. Use when the user provides Excel, CSV, or similar structured data and wants charts, plotting, exploratory analysis, figure polishing, statistical annotations, captions, or a report suitable for a paper, thesis, dissertation, lab…
Search your conversation history using ripgrep. Use when you need to find previous messages, file edits, tool calls, or decisions from earlier in the session.
Use this skill when the user wants to test a business idea, strategy, or initiative against real-world risk. Triggers include: 'test my idea', 'what are the riskiest assumptions', 'help me validate this', 'run EMT on this', 'extract assumptions', 'assumption mapping', 'what could go wrong with this plan', 'pressure…
Autonomously research an ML task and run MANY bounded experiments to find the best config — a fixed-budget edit→train→eval→keep-or-discard loop in the spirit of karpathy/autoresearch, wrapped in the ml-intern orchestrator model and fanned out with a Claude Code dynamic workflow. Runs LONG: an iterative generational…
Write and read content in a Roam Research graph correctly. Roam's markdown differs from standard markdown, and its MCP tools render block metadata (headings, block references, view types) into a wire format you must handle when writing content back. Use this whenever creating, editing, searching, or organizing content…
Builds standard operating procedures from a guided interview, screen-recording transcript, or existing draft. Use when the user says "write an SOP", "document this process", "make an SOP for X", "I keep redoing this", "delegate this to my VA", "onboarding doc for new hire", "write up how I do this", or asks to audit /…
An AI workflow that builds a simulated model of a romantic interest from chat logs, photos, and social media, including personality and attachment-style analysis.
Walk through the .NET AI Workshop as an attendee to validate that the READMEs, commands, and code snapshots still work. USE FOR: testing the workshop, testing a specific Part, dry-running the labs, verifying a README against its snapshot, reconciling or refreshing code snapshots, producing a workshop test report. DO…
Help the user design, write, compile, and install a Silo extension from a natural-language description. The extension follows the same format as any publishable Silo extension and can be shared via npm or a tarball URL when ready.
A model-selection workflow that assigns different coding tasks to different AI models based on their abilities, cost, and the task’s risk or complexity.
The conventions this team actually follows — naming, branching, review, and the decisions someone already made so nobody re-litigates them. Use when writing or reviewing code here, opening a PR, or when unsure "how do we do this".
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: