
Coding
- 8 installs
- 33 repo stars
- Updated April 26, 2026
- bighardperson/computer-science-skills-collection
coding is a skill that stores a developer's coding style preferences in local files and applies them so the agent produces consistent code.
About
coding is a memory skill that remembers a developer's coding style preferences, stack decisions and patterns so the agent applies them consistently. It learns only from explicit corrections and confirmations, storing entries in local files under ~/coding/ and making no network requests. A developer uses it to keep the agent's code output aligned with their conventions across sessions.
- Remembers a developer's coding style preferences, stack decisions and patterns
- Learns ONLY from explicit user corrections and confirmations, never from observation
- Stores ultra-compact preferences in local files under ~/coding/ with no network access
Coding by the numbers
- 8 all-time installs (skills.sh)
- Ranked #2,242 of 3,280 Productivity & Planning skills by installs in the Skillselion catalog
- Data as of Jul 30, 2026 (Skillselion catalog sync)
Coding capabilities & compatibility
- Capabilities
- preference memory · style consistency
- Use cases
- memory
- Platforms
- Linux · macOS · Windows
- Pricing
- Free
What Coding says it does
Coding style memory that adapts to your preferences, conventions, and patterns for consistent coding.
Agent learns ONLY from explicit corrections and confirmations, never from observation.
npx skills add https://github.com/bighardperson/computer-science-skills-collection --skill codingAdd your badge
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| Installs | 8 |
|---|---|
| repo stars | ★ 33 |
| Last updated | April 26, 2026 |
| Repository | bighardperson/computer-science-skills-collection ↗ |
What it does
Persist a developer's stack, style and structure preferences so the agent writes code that matches their conventions.
Who is it for?
developers who want the agent to remember and apply their coding conventions consistently
Skip if: inferring preferences from project files or observing patterns without consent
When should I use this skill?
a user has stack decisions, style or patterns they want the agent to remember and reuse
By the numbers
- memory.md capped at 100 lines
- entries kept to 5 words max
Files
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/
├── memory.md # Active preferences (≤100 lines)
└── history.md # Archived old preferencesQuick Reference
| Topic | File |
|---|---|
| Categories of preferences | dimensions.md |
| When to add preferences | criteria.md |
| Memory templates | memory-template.md |
Data Storage
All data stored in ~/coding/. Create on first use:
mkdir -p ~/codingScope
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
Core Rules
1. Learn from Explicit Feedback Only
- User corrects output → ask: "Should I remember this preference?"
- User confirms → 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" → "Should I remember: prefer X?"
- User says yes → store
- User says no → 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 filestests: colocated, not separate folder
4. Category Organization
Group by type (see dimensions.md):
- Stack — frameworks, databases, tools
- Style — naming, formatting, comments
- Structure — folders, tests, configs
- Never — explicitly rejected patterns
5. Memory Limits
- memory.md ≤100 lines
- When full → archive old patterns to history.md
- Merge similar entries: "no Prettier" + "no ESLint" → "minimal tooling"
6. On Session Start
1. Load ~/coding/memory.md if exists 2. Apply stored preferences to responses 3. If no file exists, start with no assumptions
7. Query Support
User can ask:
- "Show my coding preferences" → display memory.md
- "Forget X" → remove from memory
- "What do you know about my Python style?" → show relevant entries
Common Traps
- Adding preferences without confirmation → user loses trust
- Inferring from project structure → privacy violation
- Exceeding 100 lines → context bloat
- Vague entries ("good code") → 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
{
"ownerId": "kn73vp5rarc3b14rc7wjcw8f8580t5d1",
"slug": "coding",
"version": "1.0.3",
"publishedAt": 1771496638145
}{
"slug": "coding",
"name": "Coding",
"version": "1.0.3",
"installedAt": 1776152302882,
"source": "skillhub"
}Criteria for Code Preferences
Reference only — consult when deciding whether to update SKILL.md.
When to Add
Immediate (1 occurrence):
- User explicitly says "always use X" or "never do Y"
- User corrects your choice → add their preference
- User rejects a suggestion → add to Never
After repeated explicit feedback (2+ times):
- User explicitly accepted your choice twice
- User stated same preference in multiple conversations
- User explicitly approved your approach multiple times
When NOT to Add
- Project-specific requirement (not a general preference)
- User was just exploring options
- Contradicts existing confirmed preference (investigate first)
How to Write Entries
Ultra-compact format — 5 words max per entry:
Stack examples:
mobile: Flutterweb: Next.jsdb: Pocketbase for MVPsbackend: avoid unless needed
Style examples:
no Prettierminimal commentssnake_case filesTypeScript strict mode
Structure examples:
feature-based folderstests colocatedmonorepo when related
Never examples:
no Reduxno excessive lintingavoid ORMs
Context Qualifiers
When preference is context-dependent, prefix with context:
MVPs: skip testsPython: black formatterproduction: full types
Handling Changes
- User contradicts existing entry → remove old, add new
- User says "except for X" → add context qualifier
- Unclear if changed → move to mental note, observe more
Maintenance
- Merge similar entries: "no Prettier" + "no ESLint" → "minimal tooling"
- Remove entries that never proved useful
- Keep total SKILL.md under 30 lines ideally
Code Dimensions to Detect
Reference only — not in context. Consult when categorizing a new preference.
Stack Decisions
- Mobile framework (Flutter, React Native, Swift, Kotlin)
- Web framework (Next.js, Nuxt, SvelteKit, vanilla)
- Backend (Node, Python, Go, Rust, serverless)
- Database (Postgres, SQLite, MongoDB, Pocketbase, Supabase)
- Hosting (Vercel, self-hosted, Docker, cloud)
- Auth approach (built-in, Auth0, Clerk, custom)
- State management (none, Redux, Zustand, Riverpod)
- CSS approach (Tailwind, CSS modules, styled-components)
Code Style
- Formatting (Prettier yes/no, tabs/spaces, line length)
- Naming (camelCase, snake_case, kebab-case for files)
- Comments (minimal, verbose, JSDoc, none)
- Type strictness (strict, loose, any allowed)
- Error handling style (try-catch, Result types, early returns)
- Import organization (grouped, alphabetical, auto)
Project Structure
- Monorepo vs separate repos
- Folder organization (by feature, by type, flat)
- Config files location (root, dedicated folder)
- Test location (colocated, separate folder)
- Documentation approach (README, docs folder, inline)
Dependencies
- Dependency philosophy (minimal, use libraries, build custom)
- Version pinning (exact, caret, latest)
- Package manager (npm, pnpm, yarn, bun)
Testing
- Test framework preference
- Coverage expectations
- Test style (unit heavy, integration heavy, e2e)
- TDD vs test-after
Git & Workflow
- Commit style (conventional, free-form)
- Branch strategy (trunk, gitflow, simple)
- PR size preference
- CI/CD approach
Language-Specific
- User may have different preferences per language
- Format: "Python: black formatter" or "TypeScript: strict mode"
Context-Specific
- Different rules for different project types
- Format: "For MVPs: skip tests" or "For production: full typing"
Anti-Patterns (Never)
- Tools/libraries user explicitly rejected
- Patterns user said they dislike
- Past mistakes to not repeat
Memory Templates
~/coding/memory.md
# Coding Memory
## Stack
- [framework]: [preference]
- [database]: [preference]
## Style
- naming: [convention]
- formatting: [rule]
- comments: [approach]
## Structure
- tests: [location]
- folders: [organization]
- configs: [location]
## Never
- [rejected pattern]
- [rejected tool]~/coding/history.md
# Archived Preferences
## Archived [YYYY-MM-DD]
- [old preference, reason for archival]Entry Format
Ultra-compact, 5 words max per entry:
| Category | Example Entries |
|---|---|
| Stack | mobile: Flutter, db: Pocketbase for MVPs |
| Style | no Prettier, TypeScript strict mode |
| Structure | feature-based folders, tests colocated |
| Never | no Redux, avoid ORMs |
Context Qualifiers
When preference is context-dependent, prefix:
MVPs: skip testsPython: black formatterproduction: full types