richfrem

Identify underspecified areas in the current feature spec by asking up

Scaffold a GitHub agentic workflow from an existing skill

Scaffold an advanced stateful agent skill with L4 patterns

Trigger with "mine plugins", "analyze plugin collection", "run the full analysis pipeline", "inventory and analyze all plugins", "mine patterns from this directory", or when you want to run the complete virtuous cycle: inventory, analyze, extract patterns, synthesize recommendations, and deliver a structured report. Use this even if the user just says "analyze everything in this folder".

(Industry standard: Parallel Agent) Primary Use Case: Work that can be partitioned into independent sub-tasks running concurrently across multiple agents. Parallel multi-agent execution pattern. Use when: work can be partitioned into independent tasks that N agents can execute simultaneously across worktrees. Includes routing (sequential vs parallel), merge verification, and correction loops.

Trigger with "run self-audit", "test the analyzer", "regression test the plugin analyzer", "audit the agent-scaffolders", or "verify the analyzer works correctly". Runs the analyze-plugin skill against the agent-scaffolders itself and its test fixtures as a regression smoke test. Use this after making changes to the analyzer to verify nothing broke.

Interactive RLM cache initialization. Use when: setting up a new project's semantic cache for the first time, or adding a new cache profile. Walks the user through folder selection, extension config, manifest creation, and first distillation pass.

Deploy a skill as an Azure AI Foundry hosted agent

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 approach options using the cheapest available model, presents them for selection, then writes a structured task plan and Copilot CLI delegation prompt for the chosen approach. Called by os-architect for Path B (update) an

Audits and rewrites AI agent instruction files (CLAUDE.md, GEMINI.md, .github/copilot-instructions.md) in any repo. Strips stale or foreign content, applies Karpathy's four behavioral principles, ensures platform-specific sections, and makes each file authoritative rather than a copy of another. Trigger when the user says "optimize my CLAUDE.md", "audit agent instructions", "improve my CLAUDE.md",

Safe Create/Read/Update/Delete operations for Obsidian Vault notes. Implements atomic writes, advisory locking, concurrent edit detection, and lossless YAML frontmatter handling. Use when reading, writing, updating, or appending to any vault note.

Reviews a completed os-eval-runner lab run and backports approved changes to master plugin sources. Trigger with "backport the eval results", "review the lab run", "apply eval improvements to master", "check what the eval agent changed".