Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Decision recording + result tracking skill
Decision recording + result tracking skill
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. 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. Summarize what changed and any follow-up checks I should run.
Skill for recording important decisions and automatically tracking results after 30 days.
Record decision content, rationale, alternatives, expected results Auto-review results after 30 days (cron integration) File save: memory/decisions/YYYY-MM-DD-{slug}.md
Trigger keywords: "record decision" "decision log" "made this decision" "why did I do this" Example: Record decision: Decided to separate Instagram bot account Rationale: Distribute main account ban risk Alternatives: Use main account, manual operation Expected results: Increased safety, increased management complexity
After 30 days, automatically: Compare expected vs actual results Extract lessons learned Generate insights for similar future decisions
Publish event when recording decision: Path: events/decision-YYYY-MM-DD.json Format: { "type": "decision-logged", "timestamp": "2026-02-14T12:00:00Z", "title": "Decision title", "reviewDate": "2026-03-16", "filePath": "memory/decisions/2026-02-14-slug.md" } decision-log | ๋ฌดํญ์ด ๐ง
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Largest current source with strong distribution and engagement signals.