home / skills / aaaaqwq / agi-super-skills / context-manager

context-manager skill

/skills/misc/context-manager

This skill manages OpenClaw session context by generating AI summaries and compressing history for faster, coherent ongoing conversations.

This is most likely a fork of the context-manager skill from openclaw
npx playbooks add skill aaaaqwq/agi-super-skills --skill context-manager

Review the files below or copy the command above to add this skill to your agents.

Files (5)
SKILL.md
8.0 KB
---
name: context-manager
description: AI-powered context management for OpenClaw sessions
user-invocable: true
---

# Context Manager Skill

AI-powered context management for OpenClaw sessions. Uses the agent itself to generate intelligent summaries, then resets the session with compressed context.

## Quick Start

```bash
# List all sessions with usage stats
~/openclaw/skills/context-manager/compress.sh list

# Check status of a specific session
~/openclaw/skills/context-manager/compress.sh status agent:main:main

# Generate AI summary (read-only, safe)
~/openclaw/skills/context-manager/compress.sh summarize agent:main:main

# Compress session: generate summary, reset, inject (DESTRUCTIVE)
~/openclaw/skills/context-manager/compress.sh summarize agent:main:main --replace
```

## When to Use

- Context usage approaching 70-80%+
- Long sessions with extensive conversation history  
- Before the session becomes slow or loses coherence
- Proactively to maintain fast, focused sessions

## How It Works

1. **AI Summarization**: Sends a prompt to the agent asking it to summarize its own context
2. **Backup**: Saves the original JSONL session file to `memory/compressed/`
3. **Reset**: Deletes the JSONL file (official reset method)
4. **Inject**: Sends the AI-generated summary as the first message in the fresh session
5. **Result**: Same session key, new session ID, compressed context

**Key insight**: The agent has full visibility into its own context, so it generates the best possible summary.

## Commands

### Session Commands

| Command | Description |
|---------|-------------|
| `list` | List all sessions with token usage |
| `status [KEY]` | Show detailed status for a session |
| `summarize [KEY]` | Generate AI summary (read-only) |
| `summarize [KEY] --replace` | Summarize AND reset session with compressed context |
| `compress [KEY]` | Legacy grep-based extraction (not recommended) |
| `check [KEY]` | Check if session exceeds threshold |
| `check-all` | Check all sessions at once |

### Configuration Commands

| Command | Description |
|---------|-------------|
| `set-threshold N` | Set compression threshold (50-99%, default: 80) |
| `set-depth LEVEL` | Set depth: brief/balanced/comprehensive |
| `set-quiet-hours HH` | Set quiet hours (e.g., "23:00-07:00") |
| `help` | Show help and usage examples |

## Examples

### List All Sessions

```bash
$ ~/openclaw/skills/context-manager/compress.sh list
πŸ“‹ Available Sessions (4 total)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
#    SESSION KEY                              KIND       TOKENS    USAGE
1    agent:main:main                          direct      70188      70%
2    agent:main:slack:channel:c0aaruq2en9     group       20854      20%
3    agent:main:cron:0d02af4b-...             direct      18718      18%
```

### Check Session Status

```bash
$ ~/openclaw/skills/context-manager/compress.sh status agent:main:main
πŸ“Š Context Manager Status
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  Session Key: agent:main:main
  Session ID:  fc192a2d-091c-48c7-9fad-12bf34687454
  Kind:        direct
  Model:       gemini-3-flash
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  Threshold:   80%
  Tokens:      70188 / 100000
  Usage:       70%
```

### Generate AI Summary (Safe, Read-Only)

```bash
$ ~/openclaw/skills/context-manager/compress.sh summarize agent:main:main
🧠 Requesting AI summary for session: agent:main:main
  Session ID: fc192a2d-091c-48c7-9fad-12bf34687454

βœ… AI Summary generated!
  Saved to: memory/compressed/20260127-123146.ai-summary.md

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
### Session Summary: January 27, 2026

#### 1. What was accomplished
- System audit completed
- Essay generation with sub-agents
...
```

### Full Compression (Summarize + Reset + Inject)

```bash
$ ~/openclaw/skills/context-manager/compress.sh summarize agent:main:main --replace
🧠 Requesting AI summary for session: agent:main:main
  Session ID: fc192a2d-091c-48c7-9fad-12bf34687454
  Mode: REPLACE (will reset session after summary)

βœ… AI Summary generated!
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[AI-generated summary displayed]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

πŸ”„ Resetting session and injecting compressed context...
  Backing up session file...
  Backup saved: memory/compressed/20260127-123146.session-backup.jsonl
  Deleting session JSONL to reset...
  Injecting compressed context into fresh session...
βœ… Session compressed successfully!
  Old session ID: fc192a2d-091c-48c7-9fad-12bf34687454
  New session ID: a1b2c3d4-...
  Session is ready to continue with compressed context
```

**Result**: 70k tokens β†’ 16k tokens (77% reduction)

## Output Files

When compression occurs, these files are created in `memory/compressed/`:

| File | Description |
|------|-------------|
| `{timestamp}.ai-summary.md` | AI-generated session summary |
| `{timestamp}.session-backup.jsonl` | Full backup of original session (can restore if needed) |
| `{timestamp}.transcript.md` | Raw transcript extraction (legacy) |
| `{timestamp}.summary.md` | Grep-based summary (legacy) |

## Requirements

- **openclaw** - Gateway must be running
- **jq** - JSON parsing (`brew install jq`)
- **Gateway access** - Script uses `openclaw agent` and `openclaw sessions`

## Technical Details

### Session Reset Method

The script uses JSONL deletion to reset sessions (official method):

1. Backup JSONL to `memory/compressed/`
2. Delete `~/.openclaw/agents/{agent}/sessions/{sessionId}.jsonl`
3. Send compressed context via `openclaw agent --to main`
4. New session is created automatically with summary as first message

### Why Not /reset?

The `/reset` slash command only works in the chat interface. When sent via `openclaw agent --session-id`, it's treated as a regular message and the agent tries to interpret it as a task.

### AI Summarization Prompt

The script asks the agent to provide:
1. What was accomplished (key tasks)
2. Key decisions made (with rationale)
3. Current state (where we left off)
4. Pending tasks (what still needs doing)
5. Important context (critical info to remember)

## Troubleshooting

### Summary Text Empty

If the AI summary extraction fails, check stderr redirect:
```bash
# The script uses 2>/dev/null to avoid Node deprecation warnings breaking JSON
openclaw agent --session-id $ID -m "..." --json 2>/dev/null
```

### Session Not Resetting

Verify the JSONL file path:
```bash
ls ~/.openclaw/agents/main/sessions/
```

### Restore From Backup

If something goes wrong:
```bash
cp memory/compressed/{timestamp}.session-backup.jsonl \
   ~/.openclaw/agents/main/sessions/{sessionId}.jsonl
```

### Check Logs

Use `openclaw logs` to troubleshoot:
```bash
openclaw logs --limit 50 --json | grep -i "error\|fail"
```

## Best Practices

1. **Backup first**: The script auto-backs up, but you can also manually backup before testing
2. **Test on non-critical sessions first**: Try on a Slack channel or cron session before main
3. **Check the summary**: Run `summarize` without `--replace` first to verify the summary quality
4. **Monitor token count**: Use `status` to verify compression worked

## See Also

- `openclaw sessions --help`
- `openclaw agent --help`

Overview

This skill provides AI-powered context management for OpenClaw sessions. It uses the agent itself to generate intelligent session summaries, then replaces long conversation history with a compressed summary to restore performance and coherence. The workflow is script-driven and preserves backups so compression is reversible.

How this skill works

The agent is prompted to summarize its own session: accomplishments, decisions, current state, pending tasks, and important context. The script saves a JSONL backup, deletes the original session file to reset state, then injects the AI-generated summary as the first message in a fresh session. The session key remains the same while the session ID changes, yielding a much smaller working context.

When to use it

  • When a session’s context usage nears your configured threshold (default ~80%)
  • For long-running conversations that slow down or lose coherence
  • Before performance degradation or model hallucination becomes a problem
  • Proactively to keep sessions focused and fast
  • When you want a concise, machine-readable record of what was done and what remains

Best practices

  • Run summarize (read-only) first to verify summary quality before using --replace
  • Always keep backups: the script saves session JSONL backups in memory/compressed/
  • Start by testing compression on non-critical sessions (channels or cron jobs)
  • Tune threshold and depth (brief/balanced/comprehensive) to your workflow needs
  • Monitor token counts with status or list after compression to confirm savings

Example use cases

  • Compress a busy agent session that reached 70k tokens into a 16k token summary to regain speed
  • Automate periodic compression for high-volume Slack channels to maintain responsive agents
  • Inspect a session with summarize to review decisions and pending tasks before hand-off
  • Set quiet hours and run compressions during low-traffic windows to avoid disrupting users
  • Backup and restore sessions when testing new summarization depths or prompts

FAQ

Is compression destructive?

Full compression with --replace resets the session JSONL and injects the summary, but the script creates a timestamped JSONL backup so you can restore the original if needed.

How does the agent produce the summary?

The agent is asked to summarize its own history covering accomplishments, key decisions with rationale, current state, pending tasks, and critical context; that summary is saved as a markdown file and optionally injected.

What requirements are needed to run it?

You need the openclaw gateway running, access to the openclaw CLI, and jq installed for JSON parsing.