clawdi
Cross-agent long-term memory for the current user: their preferences, coding habits, named projects / repos / tools, past bugs and architecture decisions, and anything they reference with 'my', 'I usually', 'like last time', 'the one we set up', etc. Surface this skill BEFORE answering any question about the user themselves, their work, or their history â even when phrased abstractly (e.g. 'what do I usually use for X'). Also provides connected-service tools (Gmail, GitHub, Notion, Drive, Calendar, etc.).
agent-spec-builder
Build a Prompt Hardener agent_spec.yaml from an existing codebase (from-code) or through an interactive interview (from-questions). Use when the user wants to create, generate, or scaffold an agent spec, or when they mention agent_spec.yaml creation. Generates agent_spec.yaml, evidence.md, and open_questions.md with confidence tracking and evidence trails.
resume-builder
Generate professional resumes that conform to the Reactive Resume schema. Use when the user wants to create, build, or generate a resume through conversational AI, or asks about resume structure, sections, or content. This skill guides the agent to ask clarifying questions, avoid hallucination, and produce valid JSON output for https://rxresu.me.
Orca Account Health Skill
Answers the question: **"Is every account connected, recently synced, and fully scanned â so we can trust the data we're about to act on?"**
llm-docs-optimizer
Optimize documentation for AI coding assistants and LLMs. Improves docs for Claude, Copilot, and other AI tools through c7score optimization, llms.txt generation, question-driven restructuring, and automated quality scoring. Use when asked to improve, optimize, or enhance documentation for AI assistants, LLMs, c7score, Context7, or when creating llms.txt files. Also use for documentation quality analysis, README optimization, or ensuring docs follow best practices for LLM retrieval systems.
Scholar Deep Research
End-to-end academic research workflow that turns a question into a cited, structured report. Built for depth: multi-source federation, transparent ranking, citation chasing, and a mandatory self-critique pass before the report ships.
cashew
Persistent thought-graph memory for OpenClaw agents. Query context before answering substantive questions, extract knowledge during conversations, run think/sleep cycles for consolidation. Triggers on session start, knowledge-worthy conversations, heartbeats, and any question about prior context.
acumatica-assistant
Acumatica ERP assistant for consultants and integrators. Use for anything Acumatica, even if the user only says "Acumatica", an endpoint path (/entity/Default/24.200.001), an entity name (SalesOrder, StockItem, Customer), a form ID (SO301000, AR303000, SM207060), Contract Version 4/5, OData, push notifications or connected applications. Capabilities - (1) REST integration development: generate and review requests and client code against the contract-based REST API from a bundled extraction of Acumatica's Integration Development Guide (2026 R2) - sign-in and OAuth 2.0/OIDC, endpoint and contract versions, JSON record shape, $filter/$expand/$select per contract version, CRUD, actions and long-running operations, processing forms, inquiries, reports, custom fields, files, license limits, push notifications and webhooks, plus 187 documented example requests and exact entity, field and action names from a Default/25.200.001 contract snapshot. More capabilities follow, so trigger on any Acumatica question.
customise-workflow
Customise the prd-taskmaster-v2 skill workflow via curated brainstorm questions. AI asks, user answers in plain English, the skill writes their preferences to .taskmaster/config/user-workflow.json. Future runs of prd-taskmaster read that file and apply user preferences to phase gates, validation strictness, default provider, preferred execution mode, and template choice. Use when user says "customise workflow", "adjust my PRD settings", "tune the skill", or wants to change how prd-taskmaster behaves.
mo-arch
Query code architecture using README_AI.md index files. Use when user asks about project structure, where features are implemented, how modules work, or wants to understand codebase architecture. Triggered by questions like "what does this do", "where is X implemented", "how does module Y work".
Lassare
Human-in-the-loop for AI coding agents — ask questions, get approvals via Slack.
agent-handoff-planning
Structure a clean handoff between workflow agents with explicit outputs, open questions, and next-owner guidance.
product-architect
Complete product development system with 31 specialized agents and 23 frameworks. Use when user asks to build a product, write a PRD, create a roadmap, plan an MVP, design an app, do a security audit, create a financial model, plan hiring, launch a product, set up operations, prepare for IPO, or write a compliance policy. Also triggers on help me plan, product strategy, go-to-market, fundraising, pitch deck, unit economics, competitive analysis, user personas, sprint planning, SOP, checklist for, or how do I start a company. Do NOT use for general knowledge questions, coding tutorials, or creative writing unrelated to product development.
/ask â Question Answering
Fast answers from your vault. Uses QMD hybrid search (BM25 + vector + rerank) when available, with automatic fallback to vault grep.
cactus
Ask the human without stopping work. Use cactus instead of AskUserQuestion whenever a question can be posted now and collected later, whenever several decisions belong to one thread, whenever you are announcing what you will do anyway and only need a veto, whenever a command needs approval, or whenever a verify block or an ordered checklist should stay on the human's board across sessions. Triggers on "cactus", "ask the human", "park this question", "put it on the board", "I need a decision but keep going". Do NOT use for a question whose answer you need before the next keystroke and that has no sensible default; that is AskUserQuestion.
prompt-improver
This skill enriches vague prompts with targeted research and clarification before execution. Should be used when a prompt is determined to be vague and requires systematic research, question generation, and execution guidance.
basecamp
Interact with Basecamp via the Basecamp CLI. Full API coverage: projects, todos, cards, messages, files, schedule, check-ins, timeline, recordings, templates, webhooks, subscriptions, lineup, chat, gauges, assignments, notifications, and accounts. Use for ANY Basecamp question or action.
Audience-First Checklist
Complete every question below before finalizing any public-facing work. Do not skip items because they seem obvious â the obvious answers are usually wrong.
forge-onboard
Interactive onboarding conversation that surveys a freshly-bootstrapped project's real repo and builds its initial Project Brain â projectFacts, knowledge entries (overview / workflow / rules), a handful of seed memories, and a proposed pipeline config â through a chat that asks one question at a time and never writes without an explicit human confirm. Use right after a project has bound a runner and run pipeline bootstrap, when its knowledge/memory/pipelineConfig are still empty. Triggers on: /forge-onboard, build project brain, onboard this project, survey the repo for Forge.
askme
Verbalized Sampling (VS) protocol for deep intent exploration before planning. Use when starting ambiguous or complex tasks, when multiple interpretations exist, or when you need to explore diverse intent hypotheses and ask maximum clarifying questions before committing to an approach.
think
Deliberate reasoning skill: enforce multi-step analysis, hypothesis testing, and option evaluation before answering complex questions
grace-ask
Answer a question about a GRACE project using full project context. Use when the user has a question about the codebase, architecture, modules, or implementation â loads all GRACE artifacts, navigates the knowledge graph, and provides a grounded answer with citations.
agents-consilium
Query external AI agents (Codex, Gemini, OpenCode, Claude Code headless) in parallel for independent second opinions, code review, bug investigation, and consensus on high-stakes decisions. Agents and models are configurable in config.json. Use for architecture choices, security review, or ambiguous problems where independent perspectives matter. Not for simple questions answerable from docs or the codebase â use web search or repo exploration instead.
tsa-find
Fast file + content search with code-aware sizing. Replaces Read/Grep/find for routine "where is this file" / "grep for X" / "show me lines 10-20 of Y" questions. Returns file paths + line numbers + a sized chunk, not the whole file. Use when: - "Find files matching <pattern>" / "show me all *.yml under config/" - "Grep for 'TODO' / 'FIXME' / 'TODO\\(perf\\)' / regex anywhere" - "How big is <file>" / "is this file too large to read fully" - "Show me lines 50-80 of <file>" / "read just the relevant slice" - "Find all files matching name + containing string" Replaces: native find + grep + cat invocations (~3-10k tokens for big repos) with single MCP calls (200-500 tokens).
Finance.Double.Agent4/Knowledge Base
AI-powered knowledge base for Double - Thank You with semantic search and question answering.
onyx-cli
Query the Onyx knowledge base using the onyx-cli command. Use when the user wants to search company documents, ask questions about internal knowledge, query connected data sources, or look up information stored in Onyx.
experience-cleaning-skill
Clean OCR and manually entered interview experiences before storage so the RAG corpus has less noise, fewer duplicates, and more consistent company, department, and question fields.
evolution-guide
Explains how Evolving Lite works when the user asks about the system, its features, or how to use it. Triggers on questions like "how does this work", "what is evolving lite", "what hooks are running", "explain the system".
ask-user-question
Ask users questions via the UI. Use when you need clarification, user preferences, or confirmation before proceeding. The user CANNOT see CLI output - this tool is the ONLY way to communicate with them.
Sideways
Unexpected questions and lateral thinking prompts to break through mental blocks. 86 strategies.
explore-codebase-index
Orients exploration of the indxr repository using `.cursor/INDEX.md` as a single-file map of directory layout, declarations, imports, and cross-file structure. Use when navigating this codebase, locating symbols or modules, planning where to read code, or answering structural questions before opening many source files.
agent-readiness â keep fak the path of least resistance for an agent, and prove it
> **What this does.** An agent-first project lives or dies on a question no > human-facing scorecard asks: can an autonomous coding agent that lands in the > repo cold **discover** what fak is, **want** to adopt it, and **build** on it > without tripping over a missing affordance or an undocumented
dotnet-inspect
Query .NET APIs across NuGet packages, platform libraries, and local files. Search for types, list API surfaces, compare versions, find extension methods and implementors. Use whenever you need to answer questions about .NET library contents.
plan-create
Create structured implementation plans for autonomous TDD development. Use for new features, multi-file changes, or anything requiring multiple steps or tests. Triggers on aspirational openers ("let's build", "let's start building", "I want to make", "I want an app that", "help me build"), capability lists ("users should be able to X, Y, Z"), vague-noun patterns ("a system for", "a way to", "an app that", "functionality for"), and explicit build verbs ("build", "create", "add a feature", "help me implement", "I need to build"). Do NOT use this for "implement the plan" or "run the plan" - those should use plan-orchestrate instead. Skip for quick bug fixes, single-line changes, questions, or documentation.
ros2-engineering-skills
TRIGGER when the user: writes or reviews ROS 2 nodes (rclcpp/rclpy), creates packages (colcon/ament), edits launch files (.launch.py), configures QoS or DDS, writes URDF/xacro, implements ros2_control hardware interfaces or controllers, sets up Nav2/MoveIt 2 pipelines, processes sensor data (camera/LiDAR/PCL), works with Gazebo/Isaac Sim, configures SROS2 security, develops micro-ROS firmware, manages multi-robot fleets (Open-RMF), debugs with ros2 doctor/rosbag2, deploys via Docker/cross-compilation, or migrates from ROS 1. DO NOT TRIGGER for general C++/Python questions unrelated to ROS 2, non-robotics middleware, or web/mobile development tasks.
ql-brainstorm
Part of the quantum-loop autonomous development pipeline (brainstorm → spec → plan → execute → review → verify). Deep Socratic exploration of a feature idea before implementation. Asks questions one at a time, proposes 2-3 alternative approaches with trade-offs, presents design section-by-section for approval, and saves an approved design document. Use when starting a new feature, exploring an idea, or before writing a spec. Triggers on: brainstorm, explore idea, design this, think through, ql-brainstorm.
circuit-ui
Use this skill when working with the Circuit UI design system. It provides generated inventories of design tokens plus exported Circuit UI components and hooks from the source code, so you can answer usage and availability questions with current data.
capabilities
Display shinkoku's current capabilities, supported personas, and known limitations. Use when the user asks "what can you do?", "what's supported?", or similar questions.
docmancer
Search and manage documentation knowledge bases using docmancer CLI. Use when the user asks about third-party library docs, API references, vendor documentation, version-specific API behavior, GitBook or Mintlify public docs, offline or local doc search, or wants to ingest a doc URL before answering a question.
analytics-diagnostic-method
The spine of analytics investigation. Use whenever interpreting analytics numbers, answering "why did X change", reading funnels, comparing cohorts, or presenting findings. Teaches a five-step method (load profile, frame the question, build a MECE hypothesis tree, triangulate, present with Pyramid Principle), how to separate signal from noise, and how to spot Simpson's paradox before it misleads you.
skillforge
Intelligent skill router and creator. Analyzes ANY input to recommend existing skills, improve them, or create new ones. Uses deep iterative analysis with 11 thinking models, regression questioning, evolution lens, and multi-agent synthesis panel. Phase 0 triage ensures you never duplicate existing functionality.
analyze-session
Query a Claude Code transcript without reading it into context, then write the retrospective to disk so it remains available after the session ends. The tool reads the file line by line and reports every failure and repeated tool call by line number. Use this skill when the user asks for a retrospective on a past session, or hands over a transcript path with a question about it.
designing-mastery-paths
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query
Answer questions about the Velox codebase or pull requests. Use when asked a question via "/query" or when the user wants to understand code, architecture, or implementation details.
Io.Github.PhoenixFeuer32/Claude Context Bridge
Share context and questions between Claude instances — VS Code, claude.ai web, and mobile.
/align - Force N numbered clarifying questions before doing any work
Manual escalation lever above the default `prompt-refinement.md` rule. When the user invokes `/align N` they are explicitly summoning a clarification gate with exactly N numbered + lettered questions, each carrying a single committed recommendation. Single-shot per invocation - after Phase 3 approva
ai-firstify
Analyze, re-engineer, or bootstrap projects to align with AI-first design principles. Use when asked to review, audit, improve, 'ai-firstify', or start a new project. Performs deep analysis across 7 dimensions, actively restructures existing projects, or guides new project setup through discovery questions. Based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp.
n8n + haiflow Expert
You are an expert in both **n8n** (workflow automation) and **haiflow** (Claude Code HTTP orchestrator). Use this knowledge to answer questions, design workflows, debug issues, and architect solutions that combine both systems.
Unity Agent Harness for Claude Code — auto-compile, test pipelines, cross-model review, out of the box.
Compare the current branch against develop and generate two review documents: architecture change diagram + PR review checklist.
designing-experiments
Selects the appropriate quasi-experimental method (DiD, ITS, SC) based on data structure and research questions. Use when the user is unsure which method to apply.