Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Self-Improving Agent (With Self-Reflection)
Self-reflection + Self-criticism + learning from corrections. Agent evaluates its own work, catches mistakes, and improves permanently.
skill openclawclawhub Free
Self-reflection + Self-criticism + learning from corrections. Agent evaluates its own work, catches mistakes, and improves permanently.
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- HEARTBEAT.md, SKILL.md, boundaries.md, corrections.md, heartbeat-rules.md, heartbeat-state.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.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- 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
- 1.2.16
Provenance
- Publisher
- ivangdavila
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
When to Use
User corrects you or points out mistakes. You complete significant work and want to evaluate the outcome. You notice something in your own output that could be better. Knowledge should compound over time without manual maintenance.
Architecture
Memory lives in ~/self-improving/ with tiered structure. If ~/self-improving/ does not exist, run setup.md. Workspace setup should add the standard self-improving steering to the workspace AGENTS, SOUL, and HEARTBEAT.md files, with recurring maintenance routed through heartbeat-rules.md. ~/self-improving/ βββ memory.md # HOT: β€100 lines, always loaded βββ index.md # Topic index with line counts βββ heartbeat-state.md # Heartbeat state: last run, reviewed change, action notes βββ projects/ # Per-project learnings βββ domains/ # Domain-specific (code, writing, comms) βββ archive/ # COLD: decayed patterns βββ corrections.md # Last 50 corrections log
Quick Reference
TopicFileSetup guidesetup.mdHeartbeat state templateheartbeat-state.mdMemory templatememory-template.mdWorkspace heartbeat snippetHEARTBEAT.mdHeartbeat rulesheartbeat-rules.mdLearning mechanicslearning.mdSecurity boundariesboundaries.mdScaling rulesscaling.mdMemory operationsoperations.mdSelf-reflection logreflections.mdOpenClaw HEARTBEAT seedopenclaw-heartbeat.md
Requirements
No credentials required No extra binaries required Optional installation of the Proactivity skill may require network access
Learning Signals
Log automatically when you notice these patterns: Corrections β add to corrections.md, evaluate for memory.md: "No, that's not right..." "Actually, it should be..." "You're wrong about..." "I prefer X, not Y" "Remember that I always..." "I told you before..." "Stop doing X" "Why do you keep..." Preference signals β add to memory.md if explicit: "I like when you..." "Always do X for me" "Never do Y" "My style is..." "For [project], use..." Pattern candidates β track, promote after 3x: Same instruction repeated 3+ times Workflow that works well repeatedly User praises specific approach Ignore (don't log): One-time instructions ("do X now") Context-specific ("in this file...") Hypotheticals ("what if...")
Self-Reflection
After completing significant work, pause and evaluate: Did it meet expectations? β Compare outcome vs intent What could be better? β Identify improvements for next time Is this a pattern? β If yes, log to corrections.md When to self-reflect: After completing a multi-step task After receiving feedback (positive or negative) After fixing a bug or mistake When you notice your output could be better Log format: CONTEXT: [type of task] REFLECTION: [what I noticed] LESSON: [what to do differently] Example: CONTEXT: Building Flutter UI REFLECTION: Spacing looked off, had to redo LESSON: Check visual spacing before showing user Self-reflection entries follow the same promotion rules: 3x applied successfully β promote to HOT.
Quick Queries
User saysAction"What do you know about X?"Search all tiers for X"What have you learned?"Show last 10 from corrections.md"Show my patterns"List memory.md (HOT)"Show [project] patterns"Load projects/{name}.md"What's in warm storage?"List files in projects/ + domains/"Memory stats"Show counts per tier"Forget X"Remove from all tiers (confirm first)"Export memory"ZIP all files
Memory Stats
On "memory stats" request, report: π Self-Improving Memory HOT (always loaded): memory.md: X entries WARM (load on demand): projects/: X files domains/: X files COLD (archived): archive/: X files Recent activity (7 days): Corrections logged: X Promotions to HOT: X Demotions to WARM: X
Common Traps
TrapWhy It FailsBetter MoveLearning from silenceCreates false rulesWait for explicit correction or repeated evidencePromoting too fastPollutes HOT memoryKeep new lessons tentative until repeatedReading every namespaceWastes contextLoad only HOT plus the smallest matching filesCompaction by deletionLoses trust and historyMerge, summarize, or demote instead
1. Learn from Corrections and Self-Reflection
Log when user explicitly corrects you Log when you identify improvements in your own work Never infer from silence alone After 3 identical lessons β ask to confirm as rule
2. Tiered Storage
TierLocationSize LimitBehaviorHOTmemory.mdβ€100 linesAlways loadedWARMprojects/, domains/β€200 lines eachLoad on context matchCOLDarchive/UnlimitedLoad on explicit query
3. Automatic Promotion/Demotion
Pattern used 3x in 7 days β promote to HOT Pattern unused 30 days β demote to WARM Pattern unused 90 days β archive to COLD Never delete without asking
4. Namespace Isolation
Project patterns stay in projects/{name}.md Global preferences in HOT tier (memory.md) Domain patterns (code, writing) in domains/ Cross-namespace inheritance: global β domain β project
5. Conflict Resolution
When patterns contradict: Most specific wins (project > domain > global) Most recent wins (same level) If ambiguous β ask user
6. Compaction
When file exceeds limit: Merge similar corrections into single rule Archive unused patterns Summarize verbose entries Never lose confirmed preferences
7. Transparency
Every action from memory β cite source: "Using X (from projects/foo.md:12)" Weekly digest available: patterns learned, demoted, archived Full export on demand: all files as ZIP
8. Security Boundaries
See boundaries.md β never store credentials, health data, third-party info.
9. Graceful Degradation
If context limit hit: Load only memory.md (HOT) Load relevant namespace on demand Never fail silently β tell user what's not loaded
Scope
This skill ONLY: Learns from user corrections and self-reflection Stores preferences in local files (~/self-improving/) Maintains heartbeat state in ~/self-improving/heartbeat-state.md when the workspace integrates heartbeat Reads its own memory files on activation This skill NEVER: Accesses calendar, email, or contacts Makes network requests Reads files outside ~/self-improving/ Infers preferences from silence or observation Deletes or blindly rewrites self-improving memory during heartbeat cleanup Modifies its own SKILL.md
Data Storage
Local state lives in ~/self-improving/: memory.md for HOT rules and confirmed preferences corrections.md for explicit corrections and reusable lessons projects/ and domains/ for scoped patterns archive/ for decayed or inactive patterns heartbeat-state.md for recurring maintenance markers
Related Skills
Install with clawhub install <slug> if user confirms: memory β Long-term memory patterns for agents learning β Adaptive teaching and explanation decide β Auto-learn decision patterns escalate β Know when to ask vs act autonomously
Feedback
If useful: clawhub star self-improving Stay updated: clawhub sync
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
6 Docs
- SKILL.md
- boundaries.md
- corrections.md
- heartbeat-rules.md
- heartbeat-state.md
- HEARTBEAT.md