Agent Skills: Creating a New Skill

Creates a new Claude Code Skill following best practices. Use when the user wants to create a new skill, add a skill, or asks about writing skills for Claude Code. Fetches latest documentation before generating skill content. New skill. Create a skill.

UncategorizedID: onekeyhq/app-monorepo/1k-new-skill

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OneKeyHQLicense: NOASSERTION
2,337498

Install this agent skill to your local

pnpm dlx add-skill https://github.com/OneKeyHQ/app-monorepo/tree/HEAD/.skillshare/skills/1k-new-skill

Skill Files

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.skillshare/skills/1k-new-skill/SKILL.md

Skill Metadata

Name
1k-new-skill
Description
Creates a new Claude Code Skill following best practices. Use when the user wants to create a new skill, add a skill, or asks about writing skills for Claude Code. Fetches latest documentation before generating skill content. New skill. Create a skill.

Creating a New Skill

Follow this workflow when creating a new Claude Code Skill.

0) Fetch latest best practices (REQUIRED)

Before writing any skill content, you MUST fetch and read the latest documentation:

  1. Skills overview: https://code.claude.com/docs/en/skills
  2. Best practices: https://platform.claude.com/docs/en/agents-and-tools/agent-skills/best-practices

Use WebFetch to retrieve these pages and extract key guidelines before proceeding.

1) Check if skill should merge into existing skill (REQUIRED)

Before creating a new skill, first check if the content belongs in an existing skill.

Review existing skills

ls -la .claude/skills/

Decision criteria for merging

MERGE into existing skill as a rule if:

  • Topic is closely related to an existing skill's domain
  • Content would be a sub-topic of an existing skill
  • Similar workflows or patterns already exist
  • Adding as a rule keeps related knowledge together

CREATE new skill if:

  • Topic is distinct and doesn't fit any existing category
  • Content is substantial enough to warrant standalone skill
  • Different trigger keywords and use cases
  • Would make existing skill too large or unfocused

Token optimization considerations

When to split existing skills:

Skills should be split when they become too large, causing unnecessary token consumption on every load. Use these criteria:

🚨 SPLIT if any of these apply:

  • File size: Reference file >10 KB or >1000 lines
  • Usage frequency mismatch: Topics used in very different scenarios
  • Independent workflows: Topics don't share common patterns
  • Specific trigger words: Topic has distinct keywords that rarely overlap

βœ… KEEP TOGETHER if:

  • High correlation: Topics frequently used together (>50% overlap)
  • Shared concepts: Common patterns, terminology, or workflows
  • Small files: All reference files <5 KB each
  • Natural grouping: User thinks of topics as related

Token savings formula:

Token Savings = (Skill_Size Γ— Probability_Not_Needed) - Split_Overhead

Where:
- Skill_Size: Total tokens in skill (SKILL.md + all references)
- Probability_Not_Needed: % of tasks that don't need this topic
- Split_Overhead: ~500-1000 tokens (new SKILL.md + metadata)

Real-world examples from our codebase:

| Original | Size | Split Into | Token Savings | |----------|------|------------|---------------| | 1k-coding-patterns | 15 KB (9 files) | 6 focused skills | 47-53% in 90% cases | | 1k-dev-workflows | 43 KB (3 files) | 3 focused skills | 80% when not doing Sentry |

Splitting strategies:

  1. Conservative split (safe, minimal disruption):

    • Split only the largest, most independent file
    • Keep related topics together
    • Example: Split 34 KB Sentry analysis from 43 KB workflows
  2. Moderate split (balanced):

    • Split 3-5 distinct topics into separate skills
    • Keep core patterns together
    • Example: Split date, i18n, error-handling, cross-platform, code-quality
  3. Aggressive split (maximum optimization):

    • Each major topic becomes its own skill
    • Only keep truly inseparable content together
    • Use when: Very large skill (>50 KB), low topic correlation

Existing skill categories for OneKey

| Category | Skill | Merge candidates | |----------|-------|------------------| | Analytics/Tracking | 1k-analytics | Event tracking, Mixpanel, LogToServer, defaultLogger | | Architecture | 1k-architecture | Project structure, import rules | | Code quality | 1k-code-quality | Lint fixes, pre-commit tasks, documentation | | Code review | 1k-code-review-pr | PR review checklists | | Coding patterns | 1k-coding-patterns | React patterns, TypeScript conventions | | Create PR | 1k-create-pr | PR creation workflow | | Cross-platform | 1k-cross-platform | Platform-specific code | | Date formatting | 1k-date-formatting | Date/time display, locale formatting | | DeFi integration | 1k-defi-module-integration | Staking, lending, Earn, Borrow modules | | Dev commands | 1k-dev-commands | Build, test, lint commands | | Error handling | 1k-error-handling | Try/catch, error boundaries, user-facing errors | | Feature development | 1k-feature-guides | New chains, socket events, notifications, pages, routes | | Git workflow | 1k-git-workflow | Branching, commits, PRs | | Group think | 1k-group-think | Multi-agent collaborative analysis | | i18n | 1k-i18n | Translations, locales | | Monitor PR CI | 1k-monitor-pr-ci | CI check monitoring, PR status | | Native module patches | 1k-patching-native-modules | iOS/Android crash fixes, native code patches | | Package upgrades | 1k-pkg-upgrade-review | Dependency upgrade review, compatibility | | Performance | 1k-performance | Optimization, concurrent requests, memoization | | Platform requirements | 1k-platform-requirements | Min SDK/OS versions for all platforms | | Retrospective | 1k-retrospective | Bug fix analysis, checklist updates | | Sentry analysis | 1k-sentry-analysis | Crash reports, AppHang, ANR fixes | | Sentry config | 1k-sentry | Error filtering, crash configuration | | State management | 1k-state-management | Jotai atoms, global state | | Test versions | 1k-app-upgrade-test | App auto-update testing, version migration | | UI recipes | 1k-ui-recipes | Scroll offset, view transitions, keyboard avoidance |

Merging workflow

If merging into existing skill:

  1. Add as a rule file:

    .claude/skills/<existing-skill>/
    β”œβ”€β”€ SKILL.md                          # Update quick reference
    └── references/rules/
        └── <new-topic>.md                # Add detailed content here
    
  2. Update the main SKILL.md:

    • Add entry to quick reference table
    • Add brief summary section
    • Link to the new rule file
  3. Example merge:

    ## Quick Reference
    
    | Feature | Guide | Key Files |
    |---------|-------|-----------|
    | Existing topic | [existing.md](references/rules/existing.md) | `path/to/files` |
    | **New topic** | [new-topic.md](references/rules/new-topic.md) | `path/to/files` |  <!-- Add this -->
    

Splitting workflow

If splitting an existing skill:

  1. Analyze current skill:

    # Check file sizes
    ls -lh .claude/skills/<skill-name>/references/rules/
    wc -l .claude/skills/<skill-name>/references/rules/*.md
    
  2. Identify split candidates:

    • Files >10 KB or >1000 lines
    • Topics with distinct trigger words
    • Workflows used independently
  3. Create new skill directories:

    mkdir -p .claude/skills/<new-skill-1>/references/rules
    mkdir -p .claude/skills/<new-skill-2>/references/rules
    
  4. Move files (git tracks as rename):

    mv .claude/skills/<old-skill>/references/rules/<topic>.md \
       .claude/skills/<new-skill>/references/rules/
    
  5. Create SKILL.md for each new skill:

    • Write focused description with specific trigger words
    • Add Quick Reference section
    • Include Related Skills section
  6. Update original skill SKILL.md:

    • Remove split topics from Quick Reference
    • Update Related Skills to point to new skills
  7. Update cross-references:

    # Find all skills that reference the old skill
    grep -r "old-skill" .claude/skills/*/SKILL.md
    
    # Update each reference to point to appropriate new skill
    
  8. Commit with clear message:

    git add -A .claude/skills/
    git commit -m "refactor: split <old-skill> into focused skills"
    

2) Gather requirements (for new skills)

If creating a new skill, ask the user:

  • What task should this skill automate?
  • What triggers should activate this skill? (keywords, file types, contexts)
  • Should it be project-scoped (.claude/skills/) or personal (~/.claude/skills/)?
  • What tools does it need? (Read, Grep, Glob, Bash, WebFetch, Write, etc.)

3) Create skill structure

Standard structure (recommended for OneKey skills)

.claude/skills/1k-<skill-name>/
β”œβ”€β”€ SKILL.md                    # Main entry with quick reference (required)
└── references/
    └── rules/
        β”œβ”€β”€ topic-1.md          # Detailed guide for topic 1
        β”œβ”€β”€ topic-2.md          # Detailed guide for topic 2
        └── topic-3.md          # Detailed guide for topic 3

Simple structure (for single-topic skills)

.claude/skills/1k-<skill-name>/
└── SKILL.md                    # All content in one file

SKILL.md template

---
name: 1k-skill-name
description: Brief description of what this Skill does and when to use it. Include specific trigger keywords.
allowed-tools: Read, Grep, Glob  # Optional: restrict tool access
---

# Skill Title

Brief overview.

## Quick Reference

| Topic | Guide | Key Files |
|-------|-------|-----------|
| Topic 1 | [topic-1.md](references/rules/topic-1.md) | `path/to/files` |
| Topic 2 | [topic-2.md](references/rules/topic-2.md) | `path/to/files` |

## Topic 1 Summary

See: [references/rules/topic-1.md](references/rules/topic-1.md)

**Key points:**
- Point 1
- Point 2

## Topic 2 Summary

See: [references/rules/topic-2.md](references/rules/topic-2.md)

**Key points:**
- Point 1
- Point 2

## Related Skills

- `/1k-related-skill-1` - Description
- `/1k-related-skill-2` - Description

4) Apply best practices checklist

Naming

  • [ ] REQUIRED: Use 1k- prefix for all OneKey project skills
  • [ ] Use descriptive name: 1k-feature-guides, 1k-dev-workflows, 1k-sentry
  • [ ] Max 64 chars, lowercase letters/numbers/hyphens only
  • [ ] No reserved words: "anthropic", "claude"

Description

  • [ ] Write in third person ("Processes...", not "I can help...")
  • [ ] Include what it does AND when to use it
  • [ ] Include specific trigger keywords users would say
  • [ ] Max 1024 chars

Content structure

  • [ ] Main SKILL.md has quick reference table linking to rules
  • [ ] Detailed content goes in references/rules/*.md
  • [ ] Each rule file is self-contained and focused
  • [ ] Keep SKILL.md body under 500 lines
  • [ ] Use Unix-style paths (forward slashes)

Organization

  • [ ] Group related topics into one skill with multiple rules
  • [ ] Use consistent formatting across all rules
  • [ ] Include "Related Skills" section for cross-references
  • [ ] Add checklist for complex workflows

5) Output the skill

After gathering requirements and applying best practices:

  1. Create the skill directory with references/rules/ structure
  2. Write SKILL.md with quick reference table
  3. Add rule files for each topic
  4. Summarize what was created
  5. Run token analysis to verify optimization (REQUIRED)

Token Analysis (Self-Check)

ALWAYS run after creating or modifying skills:

# Run token analysis
python3 development/skills-analysis/analyze-skills-tokens.py --sort-by-size

# Check your new skill's token count
python3 development/skills-analysis/analyze-skills-tokens.py --detailed | grep -A 5 "your-skill-name"

Verification checklist:

  • [ ] New skill is <5,000 tokens (ideal)
  • [ ] If >5,000 tokens: Topics are highly correlated (>50% usage together)
  • [ ] If >10,000 tokens: Plan immediate split
  • [ ] SKILL.md has Quick Reference (avoid forcing full file load)
  • [ ] No duplicate content across skills

Action based on results:

| Token Count | Action | |-------------|--------| | < 2,000 | βœ… Excellent - proceed | | 2,000 - 5,000 | βœ… Good - proceed, monitor growth | | 5,000 - 10,000 | ⚠️ Review: Can topics be split? If highly correlated, proceed with Quick Reference | | > 10,000 | 🚨 Split before committing |

See development/skills-analysis/SKILLS-TOKEN-MONITORING.md for detailed guidance.

Example: Skill with multiple rules

.claude/skills/1k-feature-guides/
β”œβ”€β”€ SKILL.md
└── references/rules/
    β”œβ”€β”€ adding-chains.md
    β”œβ”€β”€ adding-socket-events.md
    β”œβ”€β”€ notification-system.md
    └── page-and-route.md

SKILL.md content:

---
name: 1k-feature-guides
description: Feature development guides for OneKey. Use when adding new chains, socket events, notifications, pages, or routes.
---

# Feature Development Guides

## Quick Reference

| Feature | Guide | Key Files |
|---------|-------|-----------|
| Add blockchain chain | [adding-chains.md](references/rules/adding-chains.md) | `packages/core/src/chains/` |
| Add WebSocket events | [adding-socket-events.md](references/rules/adding-socket-events.md) | `packages/shared/types/socket.ts` |

## Adding New Chains

See: [references/rules/adding-chains.md](references/rules/adding-chains.md)

**Key steps:**
1. Implement chain core logic
2. Add chain configuration
3. Update UI components

Anti-patterns to avoid

Structure & Organization

  • ❌ Creating new skill when content fits existing category
  • ❌ Putting all content in SKILL.md (use references/rules for detail)
  • ❌ Deeply nested file references (keep one level deep)
  • ❌ Forgetting 1k- prefix for OneKey skills

Content Quality

  • ❌ Vague descriptions like "Helps with documents"
  • ❌ Multiple approaches without clear defaults
  • ❌ Over-explaining what Claude already knows
  • ❌ Missing trigger keywords in description

Token Optimization Anti-patterns

  • ❌ Keeping bloated skills: Not splitting when files exceed 10 KB
  • ❌ Over-splitting: Creating separate skills for highly correlated topics
  • ❌ Ignoring usage patterns: Not considering which topics are used together
  • ❌ Vague trigger words: Using generic triggers that cause unnecessary loading
  • ❌ No Quick Reference: Forcing full file load instead of showing summary first
  • ❌ Duplicate content: Copying content across skills instead of cross-referencing

Examples of Good vs Bad Splitting

❌ BAD: Over-splitting

1k-date-format-display
1k-date-format-parse
1k-date-format-locale

Problem: These are always used together, split overhead > savings

βœ… GOOD: Focused skill

1k-date-formatting
β”œβ”€β”€ SKILL.md (Quick Reference)
└── references/rules/date-formatting.md

❌ BAD: Keeping bloated

1k-coding-patterns (15 KB, 9 unrelated files)

Problem: Loading all patterns even when only need one

βœ… GOOD: Split by independence

1k-coding-patterns (core patterns only)
1k-date-formatting (independent utility)
1k-i18n (independent utility)
1k-error-handling (independent patterns)