Skill Creator
Create opencode skills that extend agent capabilities with specialized knowledge and workflows.
What Skills Provide
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Specialized workflows - Multi-step procedures for specific domains
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Tool integrations - Instructions for file formats, APIs, libraries
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Domain expertise - Company-specific knowledge, schemas, business logic
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Bundled resources - Reusable scripts, references, and assets
Skill Locations
Scope Path
Project .opencode/skill/<name>/SKILL.md
Global ~/.config/opencode/skill/<name>/SKILL.md
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Project skills: Team-shared, repo-specific (e.g., our-api-patterns , project-deploy )
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Global skills: Personal tools for all projects (e.g., pdf-editor , commit-helper )
For project paths, OpenCode walks up from cwd to git worktree root.
Skill Structure
skill-name/ ├── SKILL.md # Required - frontmatter + instructions ├── scripts/ # Optional - executable code (Python/Bash) ├── references/ # Optional - docs loaded on-demand └── assets/ # Optional - templates, images, fonts
SKILL.md Format
name: skill-name description: [Self-contained workflow summary — see guidelines below]
Instructions here (markdown body)
Name: Short, hyphen-case identifier. Should be descriptive but concise (max 64 chars).
Description: Agent sees this + the name before loading. Must be self-contained with:
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What workflow/capabilities it provides
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"Use proactively when" trigger contexts
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3-5 concrete examples
CRITICAL: The description field is the primary trigger mechanism.
Skills are SOPs/workflows, NOT agents. DO NOT use role descriptions like "You are a..." or "[Role] expert."
Before loading, the agent sees only the name and description in <available_skills> :
<available_skills> <skill> <name>skill-name</name> <description>...</description> </skill> </available_skills>
The description must be self-contained — agents won't load a skill just to "see what it does."
Name + description should work together:
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Name: Short, hyphen-case identifier (e.g., typescript-advanced )
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Description: Self-contained workflow summary with capabilities, triggers, and examples
Description pattern (LLM-optimized):
name: skill-name description: |- [Action verb/capabilities]. Use for [specific cases]. Use proactively when [contexts].
Examples:
- user: "query" → action
- user: "query" → action
Dense, machine-parseable, specific. Avoid prose.
CRITICAL YAML SYNTAX: Multi-line descriptions with examples MUST use literal block scalar (|- ). The hyphen strips the trailing newline. Do NOT use plain YAML with unquoted colons or lists:
❌ WRONG - breaks YAML parsing
description: Handle plugins. Examples:
- user: "..." → action
✅ CORRECT - use |- for multi-line
description: |- Handle plugins.
Examples:
- user: "..." → action
Example:
name: typescript-advanced description: |- Handle TypeScript 5.9 advanced typing, generics, strict configs, type errors, migrations, erasable syntax compliance, and test writing. Use proactively for complex generics, conditional types, utility types, TS compiler config, or test authoring.
Examples:
- user: "Create a type-safe event emitter" → implement with generics and mapped types
- user: "Migrate to strict TypeScript" → add discriminated unions, exhaustive checks
- user: "Build typed API client from OpenAPI" → generate request/response types with inference
- user: "Write unit tests" → create strict, typed tests with realistic fixtures
Requirements:
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Start with action verb (NOT "You are" or "[Role] expert")
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List specific capabilities (vague "helps with X" = ignored)
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Include "Use proactively when" trigger contexts
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Provide 3-5 concrete user: "..." → ... examples
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Use |- literal block scalar for multi-line descriptions (plain YAML with lists/colons breaks parsing)
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Dense, LLM-parseable — description alone must justify loading
Reduce redundancy: Don't repeat description content in SKILL.md body.
Bundled Resources
Directory Purpose When to use
scripts/
Reusable Python/Bash code Same code rewritten repeatedly
references/
Docs, schemas, API specs Info agent needs while working
assets/
Templates, images, fonts Files used in output (not loaded)
MUST NOT include: README.md, CHANGELOG.md, INSTALLATION_GUIDE.md, or other auxiliary docs. Skills contain only what the agent needs to do the job.
Core Principles
Be Concise
The context window is shared. Only add info the agent doesn't already have.
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Challenge each paragraph: "Does this justify its token cost?"
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Prefer examples over explanations
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SHOULD keep SKILL.md under 500 lines
Match Freedom to Fragility
Freedom Level Format Use When
High Text instructions Multiple valid approaches
Medium Pseudocode/parameterized scripts Preferred pattern exists
Low Specific scripts Fragile ops, consistency critical
Progressive Disclosure
Metadata (name + description) - Always loaded (~100 words)
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The description is the PRIMARY discovery mechanism
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Agents see this and decide whether to load the skill
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If description is vague, the skill will never be used
SKILL.md body - Loaded when skill triggers
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Core workflow and detailed instructions
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Keep focused on what the agent needs to do the work
Bundled resources - Loaded on-demand by agent
- Move variant-specific details to references/
Keep core workflow in SKILL.md. Move variant-specific details to references/ .
Example structure:
cloud-deploy/ ├── SKILL.md (workflow + provider selection) └── references/ ├── aws.md ├── gcp.md └── azure.md
Agent loads only the relevant provider file.
Creation Process
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Understand → Gather concrete usage examples
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Plan → Identify reusable scripts/references/assets
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Initialize → Create directory and SKILL.md manually
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Edit → Write SKILL.md frontmatter + body, add resources
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Validate → Verify the skill loads and triggers correctly
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Iterate → Test, improve, repeat
Step 1: Understand
Gather concrete examples of how the skill will be used. Ask:
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"What should this skill do?"
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"What requests should trigger it?"
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"Can you give example user queries?"
Skip only if usage patterns are already clear.
Step 2: Plan
For each use case, identify reusable resources:
If you find yourself... Add to...
Rewriting same code scripts/
Re-discovering schemas/docs references/
Copying same templates assets/
Examples:
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pdf-editor : "Rotate this PDF" → scripts/rotate_pdf.py
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bigquery : "How many users today?" → references/schema.md
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frontend-builder : "Build me a todo app" → assets/react-template/
Step 3: Initialize
Create the skill directory and SKILL.md manually:
Global skill (personal tools)
mkdir -p ~/.config/opencode/skill/my-skill
Project skill (team-specific)
mkdir -p .opencode/skill/my-skill
Create SKILL.md with frontmatter:
name: my-skill description: |- [Workflow/capabilities]. Use for [specific cases]. Use proactively when [contexts].
Examples:
- user: "query" → action
- user: "query" → action
[Skill Name]
[Instructions start here]
Description template example:
name: typescript-advanced description: |- Handle TypeScript 5.9 advanced typing, generics, strict configs, type errors, migrations, and test writing. Use proactively for complex generics, conditional types, utility types, TS compiler config, or test authoring.
Examples:
- user: "Create a type-safe event emitter" → implement with generics and mapped types
- user: "Migrate to strict TypeScript" → add discriminated unions, exhaustive checks
- user: "Build typed API client from OpenAPI" → generate request/response types with inference
- user: "Write unit tests" → create strict, typed tests with realistic fixtures
Add optional directories as needed:
cd my-skill mkdir scripts references assets # only create what you'll actually use
Step 4: Edit
Writing guidelines:
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MUST use imperative form ("Run the script", not "You should run")
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SHOULD use bullet points over prose
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SHOULD link to references for detailed info
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MUST test all scripts before including
Frontmatter requirements:
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name : lowercase-hyphen format, must match directory name exactly
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description : CRITICAL — follow the format specified in above. This is how agents discover your skill.
Step 5: Validate
Verify the skill is discoverable:
Check structure:
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SKILL.md exists in skill directory
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Directory name matches name: in frontmatter exactly
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YAML frontmatter is valid
Test discovery:
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The skill should appear in agent's <available_skills> section
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Description should be specific enough to match relevant queries
Verify triggers:
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Read your description — would you know when to use this skill based solely on it?
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Do the examples cover the main use cases?
Note: Skills are used directly from their directories. No packaging or installation step required.
Step 6: Iterate
After real usage:
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Notice where the skill fails to trigger or provides unclear guidance
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Update the description to include missing trigger contexts
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Add more examples to the description or SKILL.md body
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Re-validate discovery and triggers
Agent Permissions
Control skill access per-agent in agent config:
{ "permission": { "skill": { "*": "deny", "my-skill": "allow" } } }
Values: "allow" , "deny" , "ask" . Use "*" as wildcard default.
<question_tool>
Batching: Use the question tool for 2+ related questions. Single questions → plain text.
Syntax: header ≤12 chars, label 1-5 words, add "(Recommended)" to default.
When to ask: Ambiguous request, multiple skill patterns apply, or scope unclear.
</question_tool>
<bundled_references>
Available References
This skill includes reference documents for advanced patterns. Load on-demand:
Reference When to Load
references/output-patterns.md
Designing template outputs, example-based guidance
references/workflows.md
Sequential or conditional workflow structures
Usage: Read the relevant reference file when you need detailed patterns beyond the core workflow.
</bundled_references>