Vu Thanh Tai 4ad5756899
feat: expand Kiro adapter to full language coverage (#2101)
* feat: expand Kiro adapter to full language coverage

- Add 17 new agents (typescript, rust, kotlin, java, cpp, django, swift,
  fsharp, pytorch, mle, performance-optimizer) in both .md and .json formats
- Add 25 new skills (rust, kotlin, java/spring, django, fastapi, nestjs,
  react, nextjs, cpp, swift, mle/pytorch, deep-research, strategic-compact,
  autonomous-loops, content-hash-cache-pattern)
- Add 6 new language-specific steering files (rust, kotlin, java, cpp, php, ruby)
- Add 3 new hooks (rust-check-on-edit, python-lint-on-edit, security-check-on-create)
- Update README with expanded component inventory and documentation
- Fix install.sh line endings for macOS compatibility

Total Kiro components: 33 agents, 43 skills, 22 steering files, 13 hooks

* fix: resolve P1/P2 violations in Kiro agents, skills, and steering

- java-patterns.md: remove reference to non-existent quarkus-patterns skill
- kotlin-patterns.md: fix insecure BuildConfig recommendation for secrets
- swift-actor-persistence: fix Swift version claim (5.9+) and Dictionary crash
- java-reviewer.md: add recursive framework detection + robust diff chain
- kotlin-reviewer.md: replace unreliable diff detection with fallback chain
- rust-reviewer.md: add diff fallback + make CI gating mandatory
- jpa-patterns: add DISTINCT to fetch-join query to prevent duplicates
- django-reviewer.md: add migration safety check, narrow save() rule,
  fix pytest-django behavior description

* fix: resolve remaining violations in Kiro agents, skills, and docs

Agents:
- java-build-resolver.md: remove quarkus-patterns ref, fix 'Initialise' spelling
- java-reviewer.json: remove quarkus-patterns ref from prompt
- mle-reviewer.md, cpp-build-resolver.md, java-build-resolver.md,
  performance-optimizer.md: fix allowedTools 'read' -> 'fs_read'

Hooks:
- rust-check-on-edit: fix description to match askAgent behavior

Skills:
- content-hash-cache-pattern: hyphenate 'Content-Hash-Based'
- cpp-testing: hyphenate 'real-time'
- django-security: use placeholder secrets, fix CSRF_COOKIE_HTTPONLY=False
- nestjs-patterns: add Logger to HttpExceptionFilter for non-Http errors
- react-patterns: add React 19 compatibility note for useActionState
- rust-patterns: remove edition-specific 'Rust 2024+' reference
- springboot-patterns: cap exponential backoff, recommend Resilience4j
- springboot-security: fix invalid @Query SQL injection example
- swift-protocol-di-testing: add thread-safety doc comment to mock

Docs:
- README.md: fix Project Structure counts (33/43/22/13)

* fix: sync README tree with counts, restore local diff in kotlin-reviewer, correct django FK index guidance

- README.md: Project Structure tree now lists all 33 agents, 43 skills,
  22 steering files, and 13 hooks (was showing old subset)
- kotlin-reviewer.md: restore git diff --staged / git diff for local
  pre-commit review before falling back to HEAD~1
- django-reviewer.md: clarify that ForeignKey fields are indexed by
  default; only flag missing db_index on non-FK filter columns
2026-06-07 13:26:37 +08:00

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5.1 KiB
Markdown

---
name: strategic-compact
description: Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
origin: ECC
---
# Strategic Compact Skill
Suggests manual `/compact` at strategic points in your workflow rather than relying on arbitrary auto-compaction.
## When to Activate
- Running long sessions that approach context limits (200K+ tokens)
- Working on multi-phase tasks (research → plan → implement → test)
- Switching between unrelated tasks within the same session
- After completing a major milestone and starting new work
- When responses slow down or become less coherent (context pressure)
## Why Strategic Compaction?
Auto-compaction triggers at arbitrary points:
- Often mid-task, losing important context
- No awareness of logical task boundaries
- Can interrupt complex multi-step operations
Strategic compaction at logical boundaries:
- **After exploration, before execution** — Compact research context, keep implementation plan
- **After completing a milestone** — Fresh start for next phase
- **Before major context shifts** — Clear exploration context before different task
## How It Works
The `suggest-compact.js` script runs on PreToolUse (Edit/Write) and:
1. **Tracks tool calls** — Counts tool invocations in session
2. **Threshold detection** — Suggests at configurable threshold (default: 50 calls)
3. **Periodic reminders** — Reminds every 25 calls after threshold
## Hook Setup
Add to your `~/.claude/settings.json`:
```json
{
"hooks": {
"PreToolUse": [
{
"matcher": "Edit",
"hooks": [{ "type": "command", "command": "node ~/.claude/scripts/hooks/suggest-compact.js" }]
},
{
"matcher": "Write",
"hooks": [{ "type": "command", "command": "node ~/.claude/scripts/hooks/suggest-compact.js" }]
}
]
}
}
```
## Configuration
Environment variables:
- `COMPACT_THRESHOLD` — Tool calls before first suggestion (default: 50)
## Compaction Decision Guide
Use this table to decide when to compact:
| Phase Transition | Compact? | Why |
|-----------------|----------|-----|
| Research → Planning | Yes | Research context is bulky; plan is the distilled output |
| Planning → Implementation | Yes | Plan is in TodoWrite or a file; free up context for code |
| Implementation → Testing | Maybe | Keep if tests reference recent code; compact if switching focus |
| Debugging → Next feature | Yes | Debug traces pollute context for unrelated work |
| Mid-implementation | No | Losing variable names, file paths, and partial state is costly |
| After a failed approach | Yes | Clear the dead-end reasoning before trying a new approach |
## What Survives Compaction
Understanding what persists helps you compact with confidence:
| Persists | Lost |
|----------|------|
| CLAUDE.md instructions | Intermediate reasoning and analysis |
| TodoWrite task list | File contents you previously read |
| Memory files (`~/.claude/memory/`) | Multi-step conversation context |
| Git state (commits, branches) | Tool call history and counts |
| Files on disk | Nuanced user preferences stated verbally |
## Best Practices
1. **Compact after planning** — Once plan is finalized in TodoWrite, compact to start fresh
2. **Compact after debugging** — Clear error-resolution context before continuing
3. **Don't compact mid-implementation** — Preserve context for related changes
4. **Read the suggestion** — The hook tells you *when*, you decide *if*
5. **Write before compacting** — Save important context to files or memory before compacting
6. **Use `/compact` with a summary** — Add a custom message: `/compact Focus on implementing auth middleware next`
## Token Optimization Patterns
### Trigger-Table Lazy Loading
Instead of loading full skill content at session start, use a trigger table that maps keywords to skill paths. Skills load only when triggered, reducing baseline context by 50%+:
| Trigger | Skill | Load When |
|---------|-------|-----------|
| "test", "tdd", "coverage" | tdd-workflow | User mentions testing |
| "security", "auth", "xss" | security-review | Security-related work |
| "deploy", "ci/cd" | deployment-patterns | Deployment context |
### Context Composition Awareness
Monitor what's consuming your context window:
- **CLAUDE.md files** — Always loaded, keep lean
- **Loaded skills** — Each skill adds 1-5K tokens
- **Conversation history** — Grows with each exchange
- **Tool results** — File reads, search results add bulk
### Duplicate Instruction Detection
Common sources of duplicate context:
- Same rules in both `~/.claude/rules/` and project `.claude/rules/`
- Skills that repeat CLAUDE.md instructions
- Multiple skills covering overlapping domains
### Context Optimization Tools
- `token-optimizer` MCP — Automated 95%+ token reduction via content deduplication
- `context-mode` — Context virtualization (315KB to 5.4KB demonstrated)
## Related
- [The Longform Guide](https://x.com/affaanmustafa/status/2014040193557471352) — Token optimization section
- Memory persistence hooks — For state that survives compaction
- `continuous-learning` skill — Extracts patterns before session ends