Give AI agents their own email inboxes using the NornWeave API. Use when building email agents, sending/receiving emails programmatically, managing inboxes, retrieving threads, searching messages, or integrating with email providers (Mailgun, SES, SendGrid, Resend). NornWeave provides LLM-ready markdown parsing and…
Create, extend, or modify Agent Zero plugins. Follows strict full-stack conventions (usr/plugins, plugin.yaml, Store Gating, AgentContext, plugin settings). Use for UI hooks, API handlers, lifecycle extensions, or plugin settings UI.
Use when working on an agent task where AdaMAST failure-mode checkpoints, final submission gates, trace capture, taxonomy generation/refinement, or AdaMAST CLI setup should guide Codex. This skill helps Codex apply AdaMAST during software or research tasks, diagnose its own trajectory against the active taxonomy, and…
Before accepting an agent's 'done / shipped / fixed' claim, verify it against ground truth (git ancestry + the commit's own diff) using the DOS kernel's dos verify and dos commit-audit — never the agent's own narration.
Use when the user asks how to invest, trade, buy or sell, find alpha, find or improve a trading strategy, backtest or stress a signal, screen candidates, optimize Sharpe/return/drawdown, run graph-enriched feature/model/ensemble search, or continue/prepare/debug an Abel strategy-discovery workspace — even if they…
Risk-first code review for PRs and branch audits: blast-radius triage, agent-authored discipline (tests first, intent evidence), call-graph pincer for integration defects between modules, then structural code-judo bar. Use when reviewing PRs, auditing agent-written diffs, catching rubber-stamp green CI, or wiring bugs…
Use when auditing a web app for security vulnerabilities. Triggers on: 'audit my project', 'how could this get hacked', 'find bugs in this codebase', 'security review', 'pentest', 'bug bounty scope for X', 'GHSA collaborator invite', 'security audit this'. Handles both internal audits (sitting in your own codebase…
Complete workflow for AI agents using Chub: how to query docs efficiently and how to write structured annotations back to build persistent team knowledge.
Professional academic email workflow (≤200 words). Invokes AcademicEmailAgent to draft a concise email with subject line and follow-up action for one of five standard email types: collaboration, question, interview, recommendation, or application. Output carries HUMAN REVIEW REQUIRED; no auto-send (§16.3).
Route an incoming request to the VERTICAL knowledge graph (what the agent knows — a single relationship/temporal traversal), the HORIZONTAL workflow graph (how the agent acts — a decomposed multi-step process), BOTH (a workflow whose nodes query the knowledge graph and write results back), or UNROUTABLE (neither fits…
Generate and edit videos using MiniMax H3, the state-of-the-art open multimodal generation model. Supports text-to-video, image-to-video (first/last frame), reference-to-video with multimodal context (images, video clips, audio references), native stereo sound, up to 15 seconds at 2K resolution, in-context…
Audit a past pruning or approval decision by creating a counterfactual branch from a saved snapshot without mutating the live graph. Use when the user asks what would have happened under another decision, disputes a paused branch, or wants to inspect an earlier checkpoint.
Protocol for working with the dejavu error-gate plugin. Use when a tool call is answered with a "[dejavu] REMINDER" or "[dejavu] BLOCKED" message, when the same tool call fails repeatedly, or when you discover the root cause of a gated failure. Covers how to react to reminders, what BLOCKED means, the dejavu:proceed…
Evidence-first opportunity discovery — finds novel, defensible product/startup/project opportunities by researching before ideating, and mechanically rejects generic "AI-powered X" slop with deterministic validators. Use whenever the user asks for startup ideas, product or business opportunities, "what should I…
Integrate AI detection into PACS workflow. Also use when setting up, configuring, or optimizing AI detection systems for medical imaging. Also covers Aidoc, Nvidia Clara, Zebra Medical, MaxQ AI, and Qure AI integration.
Use the another-brain MCP tools (remember, search, recent, get, reinforce, forget) as shared long-term memory. Activates at the start of a task that may continue previous work, when recalling past decisions/fixes/preferences, when learning something worth remembering across sessions or agents, or after using a…
Improve and verify agent work after repeated failures, in dependency-heavy tasks, or when optimization claims need baseline and regression evidence. Use for DAGx/Perfectify requests, failed retries, risky multi-step work, or requests to verify an improvement. Exclude routine questions, drafting, one-step edits, and…
Search this project's own memory before doing something it may already have opinions about. Use before running a build/test/deploy command, before choosing a library or approach, before changing configuration or CI, and before re-opening a decision that may already have been settled. Also use when a task resembles…
The Design-vs-Implementation Audit Copilot. A universal skill for any project, any language, any design document. Before work starts, it reminds engineers what must be delivered; after code lands, it checks what was actually delivered, what drifted, and what silently went beyond the design. Feed it a design doc plus a…
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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: