plugins/src/base/skills/codebase-research/SKILL.md
Codebase exploration and architecture analysis. Read files, trace data flow, identify modification points, map dependencies, find reusable code, evaluate design patterns.
npx skillsauth add codyswanngt/lisa codebase-researchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Systematically explore and analyze a codebase to understand its architecture, trace data flow, and identify how to make changes safely.
Follow these steps in order. Do not skip steps or propose changes to code you have not read.
## Architecture Analysis
### Files to Create
- `path/to/file.ts` -- purpose
### Files to Modify
- `path/to/file.ts:L42-L68` -- what changes and why
### Dependency Graph
- [file A] -> [file B] -> [file C] (modification order)
### Design Decisions
| Decision | Choice | Rationale |
|----------|--------|-----------|
### Reusable Code
- `path/to/util.ts:functionName` -- how it applies
### Risks
- [risk description] -- [mitigation]
documentation
Onboard a user to the project via its LLM Wiki. Interviews the user about themselves in relation to the project, captures that to project-scoped memory only, then gives a guided tour of what the project is and sample questions they can ask. Use when someone is new to the project or asks to be onboarded. Read-mostly — it does not open PRs or write PII into the wiki.
documentation
Migrate an existing, hand-rolled wiki implementation onto the lisa-wiki kernel — phased and compatibility-first, with a strict no-loss guarantee. Use when adopting lisa-wiki in a repo that already has its own wiki/, ingest skills, docs, or roles. Renaming things into the canonical shape is fine; losing functionality or data is not. Ends by running /doctor.
development
Health-check the LLM Wiki. Reports orphan pages, contradictions, stale claims, broken internal links, missing index/log coverage, structure-manifest violations, and secret/tenant leaks. Use periodically or before hardening a wiki. Read-only — it reports findings, it does not fix them.
testing
Ingest source material into the LLM Wiki. With an argument (URL, file path, or prompt) it ingests that one source; with no argument it runs a full ingest across every enabled non-external-write source. Routes to the right connector, then runs the ordered pipeline (source note → synthesis → index → log → verify → state → commit/PR). Use whenever new knowledge should enter the wiki.