Claude Skills by richfrem

(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.

A minimal well-structured plugin used as a test fixture for self-audit regression testing.

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.

Living Chronicle journaling agent. Auto-invoked when creating project event entries, searching history, or reviewing past sessions.

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.

Interactive initialization script that generates Azure AI Foundry Agent API deployment wrappers (Python SDK and Bicep basics) from an existing Agent Skill. Use when adapting a skill into an Azure Foundry environment.

Python dependency and environment management for multi-service or monorepo python backends. Use when: (1) adding, upgrading, or removing a Python package, (2) responding to Dependabot or security vulnerability alerts (GHSA/CVE), (3) creating a new service that needs its own requirements files, (4) debugging pip install failures or Docker build issues related to dependencies, (5) reviewing or auditing the dependency tree, (6) running pip-compile. Enforces the pip-compile locked-file workflow a...

Resolves shared ecosystem environment constants (HuggingFace credentials, dataset repo IDs, project root path) for any plugin without depending on internal shared libraries. V2 enforces Token Leakage constraints.

Excel to CSV conversion skill. Convert specific bounding tables or entire worksheets within `.xlsx` or `.xls` binary formats into flat `.csv` tabular data. Use this when you find an Excel file and need its data mapped into an accessible format for text analysis, filtering, or programmatic pipelining.

Exports sealed Obsidian vault notes into soul_traces.jsonl format for HuggingFace persistence. Implements snapshot isolation, git pre-flight checks, and consumes the huggingface-utils plugin for uploads.

MANDATORY - Master initialization and closure skill for new agent sessions. Grounds the agent in Protocol 128 (Hardened Learning Loop), handles Orchestrator handoff, and executes the formal Seal and Persist closure sequences.

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.

Converts Markdown files to one MS Word document per file using plugin-local scripts. V2 includes L5 Delegated Constraint Verification for strict binary artifact linting.

Tiered memory system for cognitive continuity across agent sessions. Manages hot cache (session context loaded at boot) and deep storage (loaded on demand). Use when: (1) starting a session and loading context, (2) deciding what to remember vs forget, (3) promoting/demoting knowledge between tiers, (4) user says 'remember this' or asks about project history.

Start and verify the local Ollama LLM server. Use when Ollama is needed for RLM distillation, seal snapshots, embeddings, or any local LLM inference — and it's not already running. Checks if Ollama is running, starts it if not, and verifies the health endpoint.

Package a plugin directory into a distributable ZIP archive with correct flags for symlink preservation, exclusion of build artifacts, and manifest validation before packaging.

Summarize podcast episodes from audio metadata. Extracts ID3 tags, chapter markers, and show notes.

Protocol document management agent. Auto-invoked when creating governance protocols, updating protocol status, or searching the protocol registry.

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.

Removes stale and orphaned entries from the RLM Summary Ledger. Use after files are deleted, renamed, or moved to keep the ledger in sync with the filesystem. <example> user: "Clean up the RLM cache after I renamed some files" assistant: "I'll use rlm-cleanup-agent to remove stale entries from the ledger." </example> <example> user: "The RLM ledger has entries for files that no longer exist" assistant: "I'll run rlm-cleanup-agent to prune orphaned entries." </example>

Distills uncached files into the Recursive Language Model(RLM) Summary cache Ledger. You (the agent) ARE the distillation engine. Read each file deeply, write a high-quality 1-sentence summary, inject it via inject_summary.py. The purpose is if you read the full file once and produce a great summary once it will avoid the need to read the file every time you need to know what the script does or what the details of the file are. most cases the RLM summary should be sufficient. Use when files...

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.

3-Phase Knowledge Search strategy for the RLM Factory ecosystem. Auto-invoked when tasks involve finding code, documentation, or architecture context in the repository. Enforces the optimal search order: RLM Summary Scan (O(1)) -> Vector DB Semantic Search -> Grep/Exact Match. Never skip phases.

Project Sanctuary-specific memory configuration. Maps the generic memory-management tiered system to Sanctuary's actual file paths, storage backends (RLM, Vector DB, Obsidian, HuggingFace), and persistence workflows.

Project Sanctuary-specific skill for managing the Obsidian vault as an external hippocampus. Knows the vault path, naming conventions, and integration patterns. Uses the generic obsidian-integration plugin.

Sanctuary-specific integration skill connecting the Guardian to the Agent Loops Orchestrator. Maps the Separation of Concerns between strategic workflow definition (Spec-Kitty), cognitive execution (Orchestrator tracks), and environmental sovereignty (Guardian closures).

Project Sanctuary-specific skill for managing Soul persistence to HuggingFace. Knows the exact .env parameters, discovery tags, dataset structure, and persistence workflows for this project. Uses the generic huggingface-utils plugin.

Project Sanctuary-specific skill for Spec-Driven Development. Knows the project's constitution, safety rules, AUGMENTED.md best practices, and how the spec-kitty-plugin should be configured for this project.

Initializes and orients the agent session using the Protocol 128 Bootloader sequence. Designed as a Dual-Mode Meta-Skill (Bootstrap vs Iteration phase). Master awareness skill that knows all sanctuary-guardian capabilities and utility plugin integrations. Trigger this at the start of any new assignment.

Manages the Protocol 128 multi-phase closure sequence including Technical Seal and Soul Persistence. Executes automatically when a session ends or work is complete.

Validate feature readiness and guide final acceptance steps.

Combined Spec-Kitty agent: Synchronization engine + Spec-Driven Development workflow. Auto-invoked for feature lifecycle (Specify → Plan → Tasks → Implement → Review → Merge) and agent configuration sync. Prerequisite: spec-kitty-cli installed.

Perform a non-destructive cross-artifact consistency and quality analysis

Generate a custom checklist for the current feature based on user requirements.

Identify underspecified areas in the current feature spec by asking up

Create or update the project constitution through interactive phase-based

Open the Spec Kitty dashboard in your browser.

Create an isolated workspace (worktree) for implementing a specific work