Skill Claude CodeCodex
Use when an agent should ground a local repository with CodeStory before making source claims, planning edits, choosing tests, reviewing changes, or using broad retrieval evidence through the CodeStory plugin MCP.
18 tagged llm context, measured the same way as everything else here.
Browse within: ai-instructions 12context 12context-engineering 12instructions 12
Skill Claude CodeCodex
Use when an agent should ground a local repository with CodeStory before making source claims, planning edits, choosing tests, reviewing changes, or using broad retrieval evidence through the CodeStory plugin MCP.
Skill Claude CodeCodex
Add a COMB memory bank to an existing (brownfield) project by analyzing current codebase, dependencies, and architecture. Use when the project already has code but no memory bank.
Skill Claude CodeCodex
Initialize a COMB memory bank for a new (greenfield) project. Creates the directory structure, core files, and INDEX.md from templates. For existing projects, use /adopt-memory-bank instead.
Skill Claude CodeCodex
Update memory bank after task completion. Detects scope automatically and updates files in priority order. Can be auto-invoked when task completion is detected in conversation.
Skill Claude CodeCodex
Capture the current session state as a checkpoint artifact per spec section 4.4. Use when the user signals session end or explicitly requests a checkpoint. Do not use mid-session or without user approval.
Skill Claude CodeCodex
Create project-context AGENTS.md files using phased discovery, required operational sections, and session-state modeling.
Skill Claude CodeCodex
Create complete user-context instruction files using a structured discovery workflow and repository format rules.
Skill Claude CodeCodex
Use this skill when the user wants to build a knowledge base for their project, create an Obsidian wiki from project data, analyze project structure for knowledge management, or mentions "obsidian-kb", "knowledge base", or "compile wiki".
Skill Claude CodeCodex
Compile branching decisions outside model generation, route virtualized specialist skills, and minimize model input/output across tools, files, history, images, subagents, search, and recall. Use for token-heavy or reasoning-heavy work or reversible skill-vault management.