core/capabilities/elicitation/codebase-scan/SKILL.md
Scans relevant codebase areas to understand existing patterns, conventions, dependencies, and architecture before making changes. Use at the start of any feature or fix, when entering an unfamiliar codebase area, or when the user says "scan the project", "what patterns are used", or "analyze the codebase".
npx skillsauth add xoai/sage codebase-scanInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Understand the codebase BEFORE you plan or build anything. Agents that skip reconnaissance duplicate existing code, break established patterns, and introduce inconsistencies.
Core Principle: Look before you leap. Five minutes of scanning prevents five hours of rework.
At the START of any BUILD or ARCHITECT workflow, before elicitation or planning. Also when resuming a session in an unfamiliar part of the codebase.
Examine the top-level directory structure. Identify:
Based on the task, identify the specific area of the codebase that will be affected. Examine:
Identify:
Produce a concise summary (NOT a full report — just what's relevant to the task):
CODEBASE CONTEXT:
Stack: [language, framework, version]
Area: [files/directories relevant to the task]
Patterns: [established conventions this task must follow]
Dependencies: [what will be affected by changes]
Test setup: [framework, how tests are structured here]
Concerns: [anything that could complicate the task]
This output feeds into elicitation (so you don't ask about things you already know) and planning (so the plan follows existing patterns).
MUST (violation = missed context or wasted time):
SHOULD (violation = incomplete picture):
.sage/conventions.md if it exists — it captures previously
discovered patterns.MAY (context-dependent):
tools
Captures agent mistakes, corrections, and discovered gotchas so they are not repeated. Use when: (1) a command or operation fails unexpectedly, (2) the user corrects the agent, (3) the agent discovers non-obvious behavior through debugging, (4) an API or tool behaves differently than expected, (5) a better approach is found for a recurring task. Also searches past learnings before starting tasks to avoid known pitfalls. Activate alongside the sage-memory skill — they share the same MCP backend but serve different purposes (sage-memory = codebase knowledge, sage-self-learning = agent mistakes and gotchas).
development
Typed knowledge graph stored in sage-memory. Use when creating or querying structured entities (Person, Project, Task, Event, Document), linking related objects, checking dependencies, planning multi-step actions as graph transformations, or when skills need to share structured state. Trigger on "remember that X is Y", "what do I know about", "link X to Y", "show dependencies", "what blocks X", entity CRUD, cross-skill data access, or any request involving structured relationships between things.
tools
Integrates sage-memory into Sage workflows. Teaches the agent when to remember (store findings during work), when to recall (search memory at session start and task start), and how to learn (structured knowledge capture via sage learn). Use when the user mentions memory, remember, recall, learn, capture knowledge, onboard to codebase, or when starting any session where sage-memory MCP tools are available.
tools
Captures agent mistakes, corrections, and discovered gotchas so they are not repeated. Use when: (1) a command or operation fails unexpectedly, (2) the user corrects the agent, (3) the agent discovers non-obvious behavior through debugging, (4) an API or tool behaves differently than expected, (5) a better approach is found for a recurring task. Also searches past learnings before starting tasks to avoid known pitfalls. Activate alongside the sage-memory skill — they share the same MCP backend but serve different purposes (sage-memory = codebase knowledge, sage-self-learning = agent mistakes and gotchas).