Claude Skills by richfrem

ADR management skill. Auto-invoked for generating architecture decisions, documenting design rationale, and maintaining the decision record log. Uses native read/write tools to scaffold and update ADR markdown files.

Bridge plugin capabilities (commands, skills, agents, hooks, MCP) to specific agent environments (Claude Code, GitHub Copilot, Gemini, Antigravity). Use this skill when converting or installing a plugin to a target runtime.

Performs an uncompromising L5 Enterprise Red Team Audit on a given plugin against the 39-point architectural maturity matrix. Trigger when the user requests a security audit, red team assessment, structural compliance review, or maturity gap analysis of any agent plugin or skill directory.

(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.

Systematically analyze agent plugins and skills to extract design patterns, architectural decisions, and reusable techniques. Trigger with "analyze this plugin", "mine patterns from", "review plugin structure", "extract learnings from", "what patterns does this plugin use", or when examining any plugin or skill collection to understand its design.

Triggers the L5 Red Team Sub-Agent to rigorously audit a plugin against the 39-point L4 pattern matrix.

Audits a local plugin directory to ensure it perfectly matches the Agent Skills and Claude Plugin Open Standards.

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 specialized analysis requiring a fresh model context.

Create technical bundles of code, design, and documentation for external review or context sharing. Use when you need to package multiple project files into a single Markdown file while preserving folder hierarchy and providing contextual notes for each file.

Coding conventions enforcement agent. Auto-invoked when writing new code, reviewing code quality, adding headers, or checking documentation compliance across Python, TypeScript/JavaScript, and C#/.NET.

Convert mermaid diagrams mmd/mermaid to .png and have an option to pick/increase resolution level. V2 includes L5 Delegated Constraint Verification for strict binary image linting.

Copilot CLI sub-agent system for persona-based analysis. Use when piping large contexts to GitHub Copilot models for security audits, architecture reviews, QA analysis, or any specialized analysis requiring a fresh model context.

Scaffold GitHub Agent files from an existing Agent Skill. Generates IDE/UI agents (invokable from GitHub Copilot Chat via slash command) and/or CI/CD autonomous agents (GitHub Actions quality gates with Kill Switch). Use when converting a Skill into a GitHub-native agent.

Interactive initialization script that generates a compliant Agent Skill containing pre-flight environment checks, subprocess execution scaffolding, and a security-override config. Use when authoring new workflow routines that depend on external containerized runtimes (e.g., Docker, Nextflow, HPC).

Scaffold a traditional deterministic GitHub Actions CI/CD workflow. Use this when creating build, test, deploy, lint, release, or security scan pipelines. This is distinct from agentic workflows — no AI is involved at runtime.

Interactive initialization script that generates a compliant lifecycle Hook for an AI Agent or Plugin. Use when you need to automate workflows based on events like PreToolUse or SessionStart.

Interactive initialization script that generates an Antigravity Workflow, Rule, or legacy Claude /command. Use when you need a simple flat-file procedural instruction set.

Interactive initialization script that scaffolds a new Model Context Protocol (MCP) server integration setup. Use when adding native code tools to an agent's environment.

Interactive initialization script that acts as a Plugin Architect. Generates a compliant '.claude-plugin' directory structure and `plugin.json` manifest using diagnostic questioning to ensure proper L4 patterns and Tool Connector schemas.

Interactive initialization script that acts as a Skill Designer and Architect. Generates a compliant Agent Skill containing strict YAML frontmatter, optimal interaction designs, and L4 patterns based on diagnostic questioning.

Interactive initialization script that generates an advanced Agent Skill utilizing L4 State Management, Lifecycle Artifacts, Tone Configuration, and Chained Commands. Use when authoring complex, persistent workflows.

Interactive initialization script that generates a compliant Sub-Agent configuration. Use when you need to create a nested contextual boundary with specific tools or persistent memory.

(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. Inner/outer agent delegation pattern. Use when: work needs to be delegated from a strategic controller (Outer Loop) to a tactical executor (Inner Loop) via strategy packets, with verification and correction loops.

Provides information about how to create, structure, install, and audit Agent Skills, Plugins, Antigravity Workflows, and Sub-agents. Trigger this when specifications, rules, or best practices for the ecosystem are required.

Provides active execution protocols to rigorously audit how code, directory structures, and agent actions comply with the authoritative ecosystem specs. Trigger when validating new skills, plugins, or workflows.

Gemini CLI sub-agent system for persona-based analysis. Use when piping large contexts to Google Gemini models for security audits, architecture reviews, QA analysis, or any specialized analysis requiring a fresh model context.

Initialize HuggingFace integration - validates .env variables, tests API connectivity, and ensures the dataset repository structure exists. Use when onboarding a new project to HuggingFace or when credentials change.

Upload primitives for HuggingFace Soul persistence - file, folder, snapshot, JSONL append, and dataset card management with exponential backoff. Use when persisting agent learnings, snapshots, or semantic caches to HuggingFace.

JSON Hygiene Agent. Detects duplicate keys in JSON configuration files that might be silently ignored by standard parsers. Auto-invoked for JSON audits or manifest validation. V2 includes L5 Delegated Constraint Verification.

(Industry standard: Loop Agent / Single Agent) Primary Use Case: Self-contained research, content generation, and exploration where no inner delegation is required. Self-directed research and knowledge capture loop. Use when: starting a session (Orientation), performing research (Synthesis), or closing a session (Seal, Persist, Retrospective). Ensures knowledge survives across isolated agent sessions.

Quality assurance agent for documentation link integrity. Auto-invoked when tasks involve checking, fixing, or auditing documentation links across a repository.

Read and manipulate Obsidian Bases (.base) files - YAML-based database views that render as tables, cards, and grids inside the vault. Use when reading, appending rows, or updating cells in a Base file.

Programmatically create and manipulate Obsidian Canvas (.canvas) files using JSON Canvas Spec 1.0. Enables agents to generate visual flowcharts, architecture diagrams, and planning boards. Use when creating or editing visual canvas files.

Semantic link traversal for Obsidian Vaults. Builds an in-memory graph index from wikilinks and provides instant forward-link, backlink, and multi-degree connection queries. Use when exploring note relationships or finding orphaned notes.

Initialize and onboard a new project repository as an Obsidian Vault. Covers prerequisite installation, vault configuration, exclusion filters, and validation. Use when setting up Obsidian for the first time in a project.

Core markdown syntax skill for Obsidian. Enforces strict parsing and authoring of Obsidian proprietary syntax (Wikilinks, Blocks, Headings, Aliases, Embeds, Callouts). Use when reading, writing, or validating Obsidian-flavored markdown.

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.

(Industry standard: Routing Agent / Orchestrator Pattern) Primary Use Case: Analyzing an ambiguous trigger and routing it to one of the specific specialized implementations. Routes triggers to the appropriate agent-loop pattern. Use when: assessing a task, research need, or work assignment and deciding whether to run a simple learning loop, red team review, dual-loop delegation, or parallel swarm. Manages shared closure (seal, persist, retrospective, self-improvement).

Audits, synchronizes, and maintains the health of the plugin ecosystem. Handles structural compliance checks against Open Standards, agent environment sync (install + cleanup orphans), and README scaffolding. Trigger when validating new plugins, syncing plugins to agent configs, or performing routine ecosystem health checks.

Developer machine tool for replicating plugin source code between local project repositories. Use when you want to push plugin updates from agent-plugins-skills to a consumer project, or pull the latest plugins into a consumer project from this central repo. Works with explicit --source and --dest paths; supports additive-update (default), --clean (also removes deleted files), --link (symlink), and --dry-run modes.

(Industry standard: Review and Critique Pattern) Primary Use Case: Iterative generation paired with adversarial review, continuing until an 'Approved' verdict is reached. Orchestrated adversarial review loop. Use when: research, designs, architectures, or decisions need to be reviewed by red team agents (human, browser, or CLI). Iterates in rounds of research → bundle → review → feedback until approved.

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 RLM hygiene. Supports both Ollama-based batch distillation and agent-powered direct summarization. V2 enforces Concurrency Safety constraints.

Converts an input document (.txt, .md, .pdf, .docx) into a structured RSVP token stream with ORP alignment and configurable WPM. Use when a user wants to speed-read a document, prepare a reading session, or generate a token stream for a speed-reading UI.

Session manager for RSVP speed reading. Orchestrates reading sessions with pause, resume, speed adjustment, and comprehension check-ins. Invoke after generating an RSVP token stream with the rsvp-reading skill.

Convert raw plugin analysis results into actionable improvement recommendations for agent-scaffolders and agent-skill-open-specifications. Trigger with "synthesize learnings", "generate improvement recommendations", "what should we improve in our scaffolders", "update our meta-skills based on these findings", or after completing a plugin analysis.

Task management agent. Auto-invoked for task creation, status tracking, and kanban board operations using Markdown files across lane directories. V2 enforces Kanban Sovereignty constraints preventing manual task file edits.

Semantic search agent for code and documentation retrieval using ChromaDB's Parent-Child architecture. Use when you need concept-based search across the repository. V2 includes L4/L5 retrieval constraints.

Create technical ZIP bundles of code, design, and documentation for external review or context sharing. Use when you need to package multiple project files into a portable `.zip` archive instead of a single Markdown file.

Run the targeted analysis pipeline on a single Agent Skill. This allows for focused extraction and synthesis from isolated directories without processing an entire plugin.

Validate feature readiness and guide final acceptance steps.