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 and maintains the health of the plugin ecosystem. Verifies directory structure compliance, generates documentation, and flags legacy artifacts. Trigger when validating new plugins or performing routine ecosystem health checks.

Replicates, clones, or updates plugins from the central repository to other project repositories. Trigger when setting up a new project workspace or pulling the latest plugin source code into a consumer project.

(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.

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.

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 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.

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.

Merge a completed feature into the main branch and clean up worktree

Create or update the feature specification from a natural language feature description.

Full-cycle install or update of the Spec-Kitty framework - upgrades the CLI, refreshes templates, syncs the plugin, reconciles custom knowledge, and bridges to agent environments. Custom skill (not from upstream spec-kitty).

Generate grouped work packages with actionable subtasks and matching prompt files for the feature in one pass.

Standard operating procedures for the Spec Kitty agentic workflow (Plan -> Implement -> Review -> Merge).

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.

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.

Interactive Tool Inventory bootstrap. Use this when initializing a new project repo to configure the semantic tracking of Python/JS tools. It creates a dedicated RLM profile specifically for tools and performs the first intelligent distillation pass.

Tool Inventory Manager and Discovery agent (The Librarian). Auto-invoked when tasks involve registering tools, searching for scripts, auditing coverage, or maintaining the tool registry. Combines ChromaDB semantic search with the Search → Bind → Execute discovery protocol.

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

Interactively initializes the Vector DB plugin. Installs the required pip dependencies (chromadb, langchain wrappers) and configures the vector_profiles.json for Native Python Server connections. Run this before attempting to use the vector-db-agent or vector-db-launch skills.

Start the Native Python ChromaDB background server. Use when semantic search returns connection refused on port 8110, or when the user wants to enable concurrent agent read/writes.

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.

Coding conventions and documentation standards across Python, TypeScript/JavaScript, and C#/.NET codebases. Use when: (1) writing new code files or functions, (2) reviewing code for style and documentation compliance, (3) adding file headers or docstrings, (4) creating new tools that need inventory registration, (5) refactoring code that exceeds complexity thresholds, (6) setting up module structure. Covers file headers, function documentation, naming conventions, and tool inventory integration.

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.

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.

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.

Tool Inventory Manager and Discovery agent (The Librarian). Auto-invoked when tasks involve registering tools, searching for scripts, auditing coverage, or maintaining the tool registry. Combines ChromaDB semantic search with the Search → Bind → Execute discovery protocol. V2 includes L4/L5 Constraints to prevent hallucination.