Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Recover from context compaction by scanning memory files and surfacing where you left off. Use when waking up fresh, after compaction, or when you feel lost about what you were doing.
Recover from context compaction by scanning memory files and surfacing where you left off. Use when waking up fresh, after compaction, or when you feel lost about what you were doing.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Helps agents recover context after compaction by scanning memory files and generating a "here's where you are" briefing.
Context compaction loses memory. Files survive. But after waking up fresh, you need to: Know what you were working on See decisions that were made Find open loops that need closing Get oriented fast This skill automates that recovery.
# Full briefing (default) ./scripts/anchor.sh # Just show current task ./scripts/anchor.sh --task # Just show active context files ./scripts/anchor.sh --active # Just show recent decisions ./scripts/anchor.sh --decisions # Show open loops / questions ./scripts/anchor.sh --loops # Scan specific number of days back ./scripts/anchor.sh --days 3
SourceWhat It Extractsmemory/current-task.mdCurrent task status, blockers, next stepsmemory/YYYY-MM-DD.mdRecent daily logs (last 2 days by default)context/active/*.mdIn-progress task filesDaily logsDecisions (lines with "Decision:", "Decided:", "β ")Daily logsOpen loops (lines with "?", "TODO:", "Blocker:", "Need to")
The script outputs a structured briefing: βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ CONTEXT ANCHOR Where You Left Off βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ π CURRENT TASK βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ [Contents of memory/current-task.md or "No current task set"] π ACTIVE CONTEXT FILES βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ β’ context/active/project-name.md (updated 2h ago) ββ First line preview... π― RECENT DECISIONS (last 2 days) βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ [2026-01-30] Decision: Use Cloudflare Pages for hosting [2026-01-30] β Completed email capture setup β OPEN LOOPS βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ [2026-01-30] Need to enable SFTP on NAS [2026-01-30] TODO: Create Product Hunt account βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Add to your "Every Session" routine: ## Every Session Before doing anything else: 1. Run `./skills/context-anchor/scripts/anchor.sh` for orientation 2. Read `SOUL.md` β this is who you are 3. Read `USER.md` β this is who you're helping ... Or use it manually when you feel lost about context.
WORKSPACE=/path/to/workspace ./scripts/anchor.sh
./scripts/anchor.sh --days 5 # Scan 5 days back
Pure bash. Uses only: find, grep, head, tail, date, stat Works on macOS and Linux No external tools required
Session start: Quick orientation on what's happening After compaction: Recover lost context Feeling lost: "Wait, what was I doing?" Handoff: Show another agent where things stand Daily review: See what decisions were made
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.