strategic-compact
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
Skill by ysyecust
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/ysyecust-strategic-compact
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions: not checked yet.
What's inside
- Skill name
strategic-compact- Description
- Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
- License
- MIT
- Instructions
- 100 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# 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 combines two signals:
1. **Context size (primary)** — Reads the latest `usage` record from the session transcript (`transcript_path` in the hook payload) and sums `input_tokens + cache_read_input_tokens + cache_creation_input_tokens` (the true context size of the turn). Suggests `/compact` at a window-scaled threshold — 160k tokens on a 200k window, 250k on a 1M window (detected from a `[1m]` model marker, or inferred when observed tokens already exceed 200k) — and re-reminds after every additional 60k tokens of context growth
2. **Tool-call count (secondary)** — Counts tool invocations in session; suggests at a configurable threshold (default: 50 calls), then every 25 calls after
## Hook Setup
Add to your `~/.claude/settings.json`:
```json
{
"hooks": {
"PreToolUse": [
{
"matcher": "Edit",
"hooks": [{ "type": "command", "command": "node ~/.claude/skills/strategic-compact/suggest-compact.js" }]
},
{
"matcher": "Write",
"hooks": [{ "type": "command", "command": "node ~/.claude/skills/strategic-compact/suggest-compact.js" }]
}
]
}
}
```
## Configuration
Environment variables:
- `COMPACT_THRESHOLD` — Tool calls before first suggestion (default: 50)
- `COMPACT_CONTEXT_THRESHOLD` — Context tokens before the context-size suggestion (default: 160000 on a 200k window, 250000 on a 1M window; `0` disables the context signal)
- `COMPACT_CONTEXT_INTERVAL` — Additional context tokens before the suggestion repeats (default: 60000)
## 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`
## 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 endsFrom ysyecust/everything-claude-code, MIT.
More from ysyecust/everything-claude-code
- 0.581score
brand-discovery
ysyecust
Use when a brand needs to discover or articulate its identity through structured multi-session interviews.
SkillCFreshness: C★ 59Claude Code +9 - 0.576score
competitive-platform-analysis
ysyecust
Use when scoping a competitive landscape — identifying, categorising, and score-filtering a competitor set before any benchmarking begins.
SkillCFreshness: C★ 59Claude Code +9 - 0.576score
benchmark-methodology
ysyecust
Use after competitive-platform-analysis has produced a tiered competitor set.
SkillCFreshness: C★ 59Claude Code +9 - 0.576score
competitive-report-structure
ysyecust
Use after benchmark-methodology has produced scored competitor profile cards.
SkillCFreshness: C★ 59Claude Code +9 - 0.570score
everything-claude-code
ysyecust
Development conventions and patterns for everything-claude-code.
SkillCFreshness: C★ 59Claude Code +9 - 0.570score
verification-loop
ysyecust
A comprehensive verification system for Claude Code sessions.
SkillCFreshness: C★ 59Claude Code +9 - 0.501score
everything-claude-code-conventions
ysyecust
Development conventions and patterns for everything-claude-code.
SkillDFreshness: D★ 59Claude Code +9
Signals
- Stars
- 59
- Forks
- 11
- Open issues
- 3
- Last commit (this folder)
- Jun 11, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
- 0.767score
strategic-compact
sangrokjung
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
SkillBFreshness: B★ 863Claude Code +9 - 0.400score
strategic-compact
GGGODLIN
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
SkillAFreshness: A★ 72Claude Code +9 - 0.399score
strategic-compact
Fmarzochi
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
SkillAFreshness: A★ 67Claude Code +9 - 0.347score
strategic-compact
mturac
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
SkillCFreshness: C★ 83Claude Code +9 - 0.299score
strategic-compact
marshall0524
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
SkillDFreshness: D★ 41Claude Code +9 - 0.294score
strategic-compact
Luohaothu
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
SkillDFreshness: D★ 26Claude Code +9 - 0.281score
strategic-compact
Infopibe
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
SkillDFreshness: D★ 8Claude Code +9 - 0.257score
strategic-compact
ashutoshrathi0909-oss
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
SkillDFreshness: D★ 1Claude Code +9 - 0.244score
strategic-compact
sumitkashyape2
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
SkillDFreshness: DClaude Code +9 - 0.243score
strategic-compact
vibeeval
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
SkillDFreshness: D★ 540Claude Code +9 - 0.241score
strategic-compact
bh679
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
SkillDFreshness: DClaude Code +9
More from ysyecust
- 0.581score
brand-discovery
ysyecust
Use when a brand needs to discover or articulate its identity through structured multi-session interviews.
SkillCFreshness: C★ 59Claude Code +9 - 0.576score
competitive-platform-analysis
ysyecust
Use when scoping a competitive landscape — identifying, categorising, and score-filtering a competitor set before any benchmarking begins.
SkillCFreshness: C★ 59Claude Code +9 - 0.576score
benchmark-methodology
ysyecust
Use after competitive-platform-analysis has produced a tiered competitor set.
SkillCFreshness: C★ 59Claude Code +9 - 0.576score
competitive-report-structure
ysyecust
Use after benchmark-methodology has produced scored competitor profile cards.
SkillCFreshness: C★ 59Claude Code +9 - 0.570score
everything-claude-code
ysyecust
Development conventions and patterns for everything-claude-code.
SkillCFreshness: C★ 59Claude Code +9 - 0.570score
verification-loop
ysyecust
A comprehensive verification system for Claude Code sessions.
SkillCFreshness: C★ 59Claude Code +9
Cite this page
strategic-compact skill. Agent Mart. https://agentmart.dev/skills/ysyecust-strategic-compact (last updated 2026-10-24)