Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component...
npx skills add ravnhq/ai-toolkit --skill "agent-add-rule"
Install specific skill from multi-skill repository
# Description
>
# SKILL.md
name: agent-add-rule
description: >
Add a new rule, convention, or instruction to the project's agent configuration.
Analyzes the rule and helps decide placement: root CLAUDE.md (universal rules),
docs/agents/ files (topic-specific guidance), or a new skill (complex workflows).
Triggers on: '/agent-add-rule', 'add a rule', 'add convention', 'new coding standard',
'add instruction for claude', 'update claude.md with'.
Add Rule — Place Agent Instructions Correctly
Add a new rule or convention to the right location in the progressive disclosure structure.
Context Spectrum
Static (root CLAUDE.md) — loaded every conversation. Token cost always paid.
Semi-dynamic (docs/agents/) — linked from root. Loaded when Claude follows a link.
Fully dynamic (skills) — metadata only in context. Body loaded on trigger.
Workflow
Step 1: Ask
Ask the user: "What rule or convention do you want to add?"
Accept free text. If the user already provided it (e.g., /agent-add-rule always use snake_case for database columns), skip this step.
Step 2: Analyze Current Structure
Read:
- Root CLAUDE.md
- List files in docs/agents/
- List available skills
Understand what already exists so you don't duplicate or contradict.
Step 3: Classify
Apply this decision tree:
Does the agent consistently get this wrong WITHOUT being told?
├── NO → Challenge: "Does this justify its token cost?"
│ If user still wants it → treat as semi-dynamic
│
├── YES → Does it apply to EVERY task?
│ ├── YES → Root CLAUDE.md (static)
│ │ Examples: package manager, multi-tenancy, project scripts
│ │
│ └── NO → docs/agents/ file (semi-dynamic)
│ Examples: lint rules, test thresholds, API conventions
│
└── Is it a repeatable workflow or procedural knowledge?
├── YES → Skill (fully dynamic)
│ Examples: deployment process, PR review checklist, migration procedure
│
└── NO → Probably not needed. Ask: "Does this justify its token cost?"
Key questions to ask the user:
- "Does the agent consistently get this wrong?" — If no, consider skipping
- "Does this apply to every task or just some?" — Static vs semi-dynamic
- "Is this a rule or a workflow?" — docs/agents/ vs skill
- "Will this change frequently?" — Skills are easier to evolve independently
Step 4: Recommend
Present the recommended placement with reasoning:
Recommendation: Add to docs/agents/guardrails.md
Reasoning:
- This is a data handling rule, not a universal workflow rule
- It applies only when working with the database
- guardrails.md already covers data isolation patterns
- Adding to root would cost tokens on every conversation unnecessarily
Step 5: Confirm
Ask the user to confirm or override. If they override, respect their choice but note the trade-off:
- Moving to root: "This adds ~X lines to every conversation's context"
- Moving to docs/agents/: "This won't be visible unless Claude follows the link"
- Moving to skill: "This will only load when triggered by matching keywords"
Step 6: Write
Based on confirmed placement:
If root CLAUDE.md:
- Add the rule under the appropriate section (Key Rules, Workflow, etc.)
- Warn: "This adds to every conversation's token budget"
- Keep it concise — 1-2 lines max
If existing docs/agents/ file:
- Read the target file
- Add the rule under the appropriate section
- Keep consistent formatting with existing content
If new docs/agents/ file:
- Create the file with a clear heading and the rule
- Update root CLAUDE.md links section with a new entry including routing signal
- Example:
- [API Conventions](docs/agents/api-conventions.md) — REST patterns, error response format, pagination
If skill:
- Tell the user to run
/agent-skill-creatorto scaffold it - Provide the rule content as input for the skill body
Examples
Example 1: Universal Rule → Root
User: "Always use pnpm, never npm"
Classification: Agent gets this wrong without being told + applies to every task → Root
Action: Add to Key Rules section in CLAUDE.md
Example 2: Topic-Specific Rule → docs/agents/
User: "API responses must always include a requestId field"
Classification: Agent might get wrong + only applies to API work → Semi-dynamic
Action: Add to docs/agents/guardrails.md or create docs/agents/api-conventions.md
Example 3: Complex Workflow → Skill
User: "When deploying, always run migrations first, then build, then deploy to staging, verify, then production"
Classification: Repeatable multi-step procedure → Fully dynamic (skill)
Action: Suggest /agent-skill-creator to create a deployment skill
Example 4: Unnecessary Rule → Challenge
User: "Always use const instead of let"
Classification: ESLint already enforces this → Not needed
Response: "ESLint already enforces this via the prefer-const rule. Adding it to agent instructions would cost tokens without benefit. Skip?"
Principles
- Challenge before adding: Every rule costs tokens. Ask "does this justify its token cost?"
- No duplication: If ESLint, TypeScript, or another tool already enforces it, don't add it
- Routing signals matter: When adding to docs/agents/, update the root CLAUDE.md link description so Claude knows when to follow it
- One level deep: Never cross-reference between docs/agents/ files. All links go from root
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.