git:20260507.8dfdcb4 to git:20260507.9f5be95

---

name: context-engineering

description: Dynamic context injection, mode switching (dev/review/research), selective loading, and strategic compaction for token optimization.

allowed-tools: Read, Write, Edit, Bash, Grep, Glob

graph:

domains: [domain:software-engineering]

skillAreas: [skill-area:agentic-loops, skill-area:orchestration-loop]

workflows: [workflow:feature-development]

topics: [topic:developer-experience]

roles: [role:tech-lead, role:backend-engineer]

- Load: architecture docs, active code files, test files, recent changes

- Skip: historical discussions, completed milestones, research notes

- Priority: implementation speed

### Review Mode

- Load: code diff, coding standards, security rules, test coverage

- Skip: architecture docs, planning notes, research

- Priority: thoroughness and accuracy

### Research Mode

- Load: requirements, existing patterns, external research, alternatives

- Skip: implementation details, test files, CI configs

- Priority: breadth of information

## Dynamic Injection

- Detect project context automatically (language, framework, tools)

- Load relevant skills based on detected context

- Inject domain-specific patterns and conventions

- Adjust tool allowlists per context mode

## Selective Loading

- Load only files relevant to the current task

- Use glob patterns to scope file reading

- Prioritize recently modified files

- Skip binary files and generated code

## Strategic Compaction

- Monitor context token usage

- Suggest compression for resolved/completed items

- Archive to memory files (activeContext, patterns, progress)

- Pre-compaction state preservation

- Automated compaction triggers at token thresholds

## Cross-Platform Detection

- Package manager: npm (package-lock.json), pnpm (pnpm-lock.yaml), yarn (yarn.lock), bun (bun.lockb)

- Language: TypeScript (tsconfig.json), Go (go.mod), Python (pyproject.toml), Java (pom.xml)

- Test runner: vitest, jest, pytest, go test

- CI/CD: GitHub Actions, Dockerfile, docker-compose

## When to Use

- Session initialization (detect context)

- Before each phase (inject relevant context)

- Token budget warnings (strategic compaction)

- Mode transitions (dev to review to research)

## Agents Used

- Used by all agents indirectly through context detection

- `context-engineering` agent for explicit compaction analysis