Provides active execution protocols to rigorously audit how code, directory structures, and agent actions comply with the authoritative ecosystem specs.
Session manager for RSVP speed reading. Orchestrates reading sessions with pause, resume, speed adjustment, and comprehension check-ins.
Programmatically create and manipulate Obsidian Canvas (.canvas) files using JSON Canvas Spec 1.0. Enables agents to generate visual flowcharts, architecture diagrams, and…
Knowledge Curator agent skill for the RLM Factory. Auto-invoked when tasks involve distilling code summaries, querying the semantic ledger, auditing cache coverage, or maintaining…
Interactive co-authoring skill for the narrow end of the exploration funnel. Synthesizes session briefs, BRDs, story sets, and prototype notes into a structured handoff package…
(Industry standard: Sequential Agent / Agent as a Tool) Primary Use Case: Delegating a well-defined task to a worker agent, verifying its execution, and repeating if necessary.
Interactive RLM cache initialization. Use when: setting up a new project's semantic cache for the first time, or adding a new cache profile.
Convert raw plugin analysis results into actionable improvement recommendations for agent-scaffolders and agent-scaffolders.
Performs an uncompromising L5 Enterprise Red Team Audit on a given plugin against the 39-point architectural maturity matrix.
Safely removes all agent lock files from the context/.locks/ directory to resolve deadlocks caused by crashed agents leaving stale locks behind.
Specialized Quality Assurance Operator for documentation link integrity and scans. Automatically handles automated link validation, auditing, fixing, and repairing broken…
Captures and refines business requirements, including functional requirements, non-functional requirements, business rules, constraints, assumptions, and success measures.
Interactive skill to scaffold and optimize the .claude/ directory for any project. Sets up CLAUDE.md, .claude/rules/, .claude/settings.json with best practices, and optional…
Ingests repository files into the ChromaDB vector store. Builds or updates the vector index from a manifest or directory scan using ingest.py.
Discovers and persists the user's available AI environments (Claude, Copilot CLI, Gemini CLI, Cursor, etc.) to context/memory/environment.md.
Transforms raw source files registered in wiki_sources.json into Karpathy-style LLM wiki nodes inside the wiki-root.
Semantic search skill for retrieving code and documentation from the ChromaDB vector store. Use when you need concept-based search across the repository (Phase 2 of the 3-phase…
Initialize HuggingFace integration - validates .env variables, tests API connectivity, and ensures the dataset repository structure exists.
Interactively select and uninstall agent plugins and skills from the local .agents/ environment.
Derives, groups, and refines user stories from exploration work, prototype behavior, and business context, with prioritization for the first implementation slice.
Safe Create/Read/Update/Delete operations for Obsidian Vault notes. Implements atomic writes, advisory locking, concurrent edit detection, and lossless YAML frontmatter handling.
Claude CLI sub-agent system for persona-based analysis. Use when piping large contexts to Anthropic models for security audits, architecture reviews, QA analysis, or any…
Fixes broken path references in plugin skill and agent files to ensure portability across installed environments.
SME-facing orchestrator for the Business Exploration Loop. Supports 4 session types (greenfield, brownfield, discovery-only, spike) with adaptive phase selection.
Task management agent. Auto-invoked for task creation, status tracking, and kanban board operations using Markdown files across lane directories.
Interactively creates technical bundles of code, design, and documentation for external review or context sharing.
Create, audit, repair, and document cross-platform symlinks that work correctly on both Windows and macOS/Linux.
Stateless evaluation engine that scores and gates skill improvement iterations using headless Python evaluation scripts.
Codifies the plan-and-delegate workflow for evolving plugins, skills, and agents. Given a target (plugin/skill/agent name) and an evolution goal, this skill first brainstorms 2-3…
This skill should be used when the user wants to "create a marketplace", "setup a marketplace catalog", "scaffold marketplace.json", "initialize a plugin registry", or "configure…
Systematically analyze agent plugins and skills to extract design patterns, architectural decisions, and reusable techniques.
Identify underspecified areas in the current feature spec by asking up
Audit RLM cache coverage - compare manifest against filesystem
A deliberately broken skill that should trigger multiple anti-pattern detections during analysis.