strategic-compact — Claude skill: when to run /compact
Tells you when to run /compact during a session so context survives task phases. Built for long multi-phase runs.
npx skills add affaan-m/ECC --skill strategic-compact -a claude-codeWhat strategic-compact does
The skill watches context size and suggests manual compaction at logical boundaries: after research before implementation, after a milestone, before switching to an unrelated task. Auto-compaction fires at arbitrary points and often cuts a task in half.
Under the hood it is suggest-compact.js, registered on PreToolUse for Edit and Write. It reads the latest usage record from the session transcript and sums input_tokens + cache_read_input_tokens + cache_creation_input_tokens — the true context size of the turn. The threshold scales with the window: 160k on a 200k window, 250k on a 1M window, then it re-reminds every 60k tokens. A tool-call counter is the secondary signal, 50 calls by default and every 25 after. That counter alone is a weak proxy: a couple of large file reads can fill the window faster than fifty small calls.
Plugin installs need no setup — the hook is already in hooks/hooks.json. If you installed manually via ./install.sh, add the hook block to ~/.claude/settings.json. Thresholds come from COMPACT_THRESHOLD, COMPACT_CONTEXT_THRESHOLD and COMPACT_CONTEXT_INTERVAL. On a large-window model whose id carries no [1m] marker, set ECC_CONTEXT_WINDOW_TOKENS, otherwise the threshold defaults to 200k and overstates how full your context is. Worth installing if you keep hitting the context limit on long tasks. On short sessions the hook is just noise.
What it helps with
- catch the right moment to compact context by hand
- keep the plan alive when auto-compaction hits mid-task
- clear debugging context before starting something new
- scale the compaction threshold to a specific model window
- start a new phase with a clean context
Example prompts for the agent
- context is getting close to the limit, what now?
- should I run /compact yet?
- we just finished debugging, can I compact?
How to install strategic-compact
1Skills CLI (Vercel)
npx skills add affaan-m/ECC --skill strategic-compact -a claude-code2Manually: put the files in place
~/.claude/skills/strategic-compact/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/strategic-compact/
1Skills CLI (Vercel)
npx skills add affaan-m/ECC --skill strategic-compact -a codex2Manually: put the files in place
.agents/skills/strategic-compact/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add affaan-m/ECC --skill strategic-compact -a cursor2Manually: put the files in place
.cursor/skills/strategic-compact/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install affaan-m/ECC strategic-compact2Manually: put the files in place
.github/skills/strategic-compact/SKILL.md1Skills CLI (Vercel)
npx skills add affaan-m/ECC --skill strategic-compact -a gemini-cli2Platform CLI
gemini skills install https://github.com/affaan-m/ECC --path skills/strategic-compactManually: put the files in place
.devin/skills/strategic-compact/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add affaan-m/ECC --skill strategic-compact -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
From the same set146
The whole set →Similar
Questions about strategic-compact
How do I install strategic-compact in Claude?
Run npx skills add affaan-m/ECC --skill strategic-compact -a claude-code. With a plugin install the hook registers itself, so there is nothing to add by hand.
What does strategic-compact do?
It suggests running /compact at logical task boundaries instead of waiting for auto-compaction. The script measures real context size from the session transcript plus a tool-call counter.
Why is the threshold computed from 200k when my window is larger?
The window is detected from a [1m] model marker, or inferred once observed tokens pass 200k. If neither signal is present, set ECC_CONTEXT_WINDOW_TOKENS yourself.
Source text
SKILL.md · MIT
---
name: strategic-compact
description: Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction. Use when a session is approaching a context limit and a task phase is a natural place to compact.
metadata:
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 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
Tool count alone is a weak proxy for window pressure: a few large file reads or MCP responses can fill the window in very few calls, while many tiny calls can cross 50 with a near-empty window. The context-size signal fires when it actually matters.
## Hook Setup
**Installed as a plugin?** No setup is needed. The plugin's `hooks/hooks.json` already registers `suggest-compact.js` (hook id `pre:edit-write:suggest-compact`, active in the `standard` and `strict` hook profiles). Do not copy the block below into `~/.claude/settings.json` — `~/.claude/scripts/` does not exist on plugin installs, and duplicating a plugin hook causes double execution.
**If installed manually** (`./install.sh`), 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)
- `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)
- `COMPACT_STATE_TTL_DAYS` — Days before stale per-session state files in the temp dir are swept (default: 14)
- `ECC_CONTEXT_WINDOW_TOKENS` — Explicit context-window size, in tokens, overriding auto-detection. Set this for large-window models whose reported id lacks a `[1m]` marker (e.g. 400k Opus 4.x, or a new 1M-window model family) so the threshold scales to the real window instead of defaulting to 200k and overstating context usage.
- `CLAUDE_CODE_AUTO_COMPACT_WINDOW` — Claude Code's native window-size override, in tokens; honored as a fallback when `ECC_CONTEXT_WINDOW_TOKENS` is unset.
> The context window is otherwise auto-detected from a `[1m]` model marker or inferred when observed tokens already exceed 200k. On a large-window model that carries neither signal, set one of the overrides above so the `/compact` suggestion fires at the right point.
## 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 written down (a file, or the task list if you have one); 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 |
| Files on disk | File contents you previously read |
| Memory files (`~/.claude/memory/`) | Multi-step conversation context |
| Git state (commits, branches) | Tool call history and counts |
| The task list — **only if you have the todo tools** (see below) | Nuanced user preferences stated verbally |
> ### Don't rely on the task list surviving — it may not exist
>
> Claude Code **2.1.233 removed the todo/task tools by default** on Opus 4.8, Sonnet 5,
> Fable 5, Mythos 5 and newer models (`TodoWrite`, `TaskCreate/Get/Update/List`).
> `CLAUDE_CODE_ENABLE_TODO_TOOLS=1` brings them back, but that is a per-machine
> environment setting — **it does not travel with this skill**, so you cannot assume the
> reader has it.
>
> This matters because "my todo list survives compaction" is a reason people compact
> *instead of* writing state down. If the tools are absent there is no list to survive,
> and the plan is simply gone. **Write the plan to a file before compacting** — a file
> persists on every version and every model. Treat the task list as a convenience that
> may be missing, never as your durable record.
## Best Practices
1. **Compact after planning** — Once the plan is finalized **and written to a file**, 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
© affaan-m · MIT · affaan-m/ECC