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decision-log

Decision recording + result tracking skill

skill openclawclawhub Free
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High Signal

Decision recording + result tracking skill

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

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.

Upgrade existing

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.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.1

Documentation

ClawHub primary doc Primary doc: SKILL.md 6 sections Open source page

decision-log

Skill for recording important decisions and automatically tracking results after 30 days.

Features

Record decision content, rationale, alternatives, expected results Auto-review results after 30 days (cron integration) File save: memory/decisions/YYYY-MM-DD-{slug}.md

Usage

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

Output Format

  • # Decision: {title}
  • **Date**: YYYY-MM-DD
  • **Status**: Decided / Review Pending / Results Confirmed
  • ## Decision Content
  • ...
  • ## Rationale
  • ...
  • ...
  • ## Alternatives Considered
  • 1. **Alternative 1**: ...
  • - Pros: ...
  • - Cons: ...
  • 2. **Alternative 2**: ...
  • ## Expected Results
  • Positive: ...
  • Negative: ...
  • ## Actual Results (Auto-update after 30 days)
  • _Review date: YYYY-MM-DD_
  • ---
  • **Decision date**: YYYY-MM-DD | **Review date**: YYYY-MM-DD (scheduled)

Auto-review (cron)

After 30 days, automatically: Compare expected vs actual results Extract lessons learned Generate insights for similar future decisions

Event Bus Integration

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 | ๋ฌดํŽญ์ด ๐Ÿง

Category context

Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc