Claude Skills by richfrem

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

Execute the implementation planning workflow using the plan template

Run the Phase 0 research workflow to scaffold research artifacts before task planning.

Perform structured code review and kanban transitions for completed task

Create or update the feature specification from a natural language feature

Display kanban board status showing work package progress across lanes (planned/doing/for_review/done).

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

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

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. V2 includes L4/L5 Constraints to prevent hallucination.

Removes stale and orphaned chunks from the ChromaDB vector store for files that have been deleted or renamed. Use after files are removed or moved to keep the vector index in sync with the filesystem. <example> user: "Clean up the vector store after I deleted some files" assistant: "I'll use vector-db-cleanup to remove orphaned chunks." </example> <example> user: "The vector database has chunks for files that no longer exist" assistant: "I'll run vector-db-cleanup to prune them." </example>

Ingests repository files into the ChromaDB vector store. Builds or updates the vector index from a manifest or directory scan using ingest.py. Use when new files need to be indexed or the vector store is out of date. <example> user: "Index these new plugin files into the vector database" assistant: "I'll use vector-db-ingest to add them to the vector store." </example> <example> user: "The vector store is missing recent files -- update it" assistant: "I'll use vector-db-ingest to re-index th...

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-search 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.

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 search protocol). V2 includes L4/L5 retrieval constraints.

Validate feature readiness and guide final acceptance steps.

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.

Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.

Master synchronization and garbage collection skill. Synchronizes the local plugins against the vendor inventory. It safely cleans up orphaned artifacts from deleted plugins AND installs/updates all active plugins to the agent runtime environments (`.agent`, `.claude`, etc.).

Synchronizes local plugins from the vendor inventory, safely cleaning up deleted vendor plugins while preserving project-specific customizations. Trigger when updating the plugin ecosystem from an upstream vendor source.

Standardized plugin for migration-utils.

Initializes or updates the local plugin ecosystem from the central vendor repo. Use this when a project needs to pull the latest plugin code or initialize for the first time.

Agent-powered RLM cache distillation. Replaces the slow local Ollama distiller with the agent's own summarization capability for both rlm_summary_cache.json and rlm_tool_cache.json.

Agent-powered RLM cache gap-fill orchestration. Audits the cache, generates a Markdown task list, and spawns a Sub-Agent to read missing files, write summaries, and inject them directly into the JSON.

Master controller for agent session orchestration. Delegated to when starting a session (bootloader orientation), managing workflow routing (Orchestrator, Spec-Kitty), and ending a session (technical seal and soul persistence).

MANDATORY: Use this skill whenever you need to perform a technical task (scanning, graphing, auditing) but lack a specific tool in your current context. Accesses the project's "Shadow Inventory" of specialized scripts.