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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)
At a glance

Coding capabilities & compatibility

Capabilities
preference memory · style consistency
Use cases
memory
Platforms
Linux · macOS · Windows
Pricing
Free
From the docs

What Coding says it does

Coding style memory that adapts to your preferences, conventions, and patterns for consistent coding.
SKILL.md
Agent learns ONLY from explicit corrections and confirmations, never from observation.
SKILL.md
npx skills add https://github.com/bighardperson/computer-science-skills-collection --skill coding

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Listed on Skillselion
Installs8
repo stars33
Last updatedApril 26, 2026
Repositorybighardperson/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

SKILL.mdMarkdownGitHub ↗

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 preferences

Quick Reference

TopicFile
Categories of preferencesdimensions.md
When to add preferencescriteria.md
Memory 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

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 files
  • tests: 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

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