Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Coding
Coding style memory that adapts to your preferences, conventions, and patterns for consistent coding.
skill openclawclawhub Free
Coding style memory that adapts to your preferences, conventions, and patterns for consistent coding.
โฌ 0 downloads โ
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
- SKILL.md, criteria.md, dimensions.md, memory-template.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
- 1.0.3
Provenance
- Publisher
- ivangdavila
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
When to Use
User has coding style preferences, stack decisions, or patterns they want remembered. Agent learns ONLY from explicit corrections and confirmations, never from observation.
Architecture
Memory lives in ~/coding/ with tiered structure. See memory-template.md for setup. ~/coding/ โโโ memory.md # Active preferences (โค100 lines) โโโ history.md # Archived old preferences
Quick Reference
TopicFileCategories of preferencesdimensions.mdWhen to add preferencescriteria.mdMemory templatesmemory-template.md
Data Storage
All data stored in ~/coding/. Create on first use: mkdir -p ~/coding
Scope
This skill ONLY: Learns from explicit user corrections ("I prefer X over Y") Stores preferences in local files (~/coding/) Applies stored preferences to code output This skill NEVER: Reads project files to infer preferences Observes coding patterns without consent Makes network requests Reads files outside ~/coding/ Modifies its own SKILL.md
1. Learn from Explicit Feedback Only
User corrects output โ ask: "Should I remember this preference?" User confirms โ add to ~/coding/memory.md Never infer from silence or observation
2. Confirmation Required
No preference is stored without explicit user confirmation: "Actually, I prefer X" โ "Should I remember: prefer X?" User says yes โ store User says no โ don't store, don't ask again
3. Ultra-Compact Format
Keep each entry 5 words max: python: prefer 3.11+ naming: snake_case for files tests: colocated, not separate folder
4. Category Organization
Group by type (see dimensions.md): Stack โ frameworks, databases, tools Style โ naming, formatting, comments Structure โ folders, tests, configs Never โ explicitly rejected patterns
5. Memory Limits
memory.md โค100 lines When full โ archive old patterns to history.md Merge similar entries: "no Prettier" + "no ESLint" โ "minimal tooling"
6. On Session Start
Load ~/coding/memory.md if exists Apply stored preferences to responses If no file exists, start with no assumptions
7. Query Support
User can ask: "Show my coding preferences" โ display memory.md "Forget X" โ remove from memory "What do you know about my Python style?" โ show relevant entries
Common Traps
Adding preferences without confirmation โ user loses trust Inferring from project structure โ privacy violation Exceeding 100 lines โ context bloat Vague entries ("good code") โ useless, be specific
Security & Privacy
Data that stays local: All preferences stored in ~/coding/ No telemetry or analytics This skill does NOT: Send data externally Access files outside ~/coding/ Observe without explicit user input
Feedback
If useful: clawhub star coding Stay updated: clawhub sync
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Docs
- SKILL.md
- criteria.md
- dimensions.md
- memory-template.md