Create Skill

This skill helps you scaffold new agent skills that conform to the Agent Skills specification and the dotnet/skills repository conventions.

When to Use

• Creating a new skill from scratch
• Generating a SKILL.md file with proper frontmatter
• Setting up the skill directory structure with optional folders
• Ensuring compliance with agentskills.io specification

When Not to Use

• Modifying existing skills (edit directly instead)
• Diagnosing or fixing a skill that fails its evaluation (use improve-skill-quality)
• Writing the skill's eval.yaml (use create-skill-test)
• Creating custom agents (use the agents/ directory pattern)

Inputs

Input	Required	Description
Skill name	Yes	Lowercase, alphanumeric, hyphens only (e.g., code-review, ci-triage)
Description	Yes	What the skill does and when agents should use it (1-1024 chars)
Purpose	Yes	One paragraph describing the outcome
Workflow steps	Recommended	Numbered steps the agent should follow

Workflow

Step 1: Validate the skill name

Ensure the name:

• Contains only lowercase letters, numbers, and hyphens
• Does not start or end with a hyphen
• Does not contain consecutive hyphens
• Is between 1-64 characters

Step 2: Write the description — it is the router

The description is the only text the runtime sees when deciding whether to load the skill. A perfect body behind a weak description never runs.

---
name: <skill-name>
description: <what it does>. USE FOR: <symptoms, error codes, artifact names, quoted user requests>. DO NOT USE FOR: <nearby-but-wrong intents, with the skill that owns them>.
---

• Lead with an action verb and use the user's own words: symptoms, error codes (CS1501, MSTEST0014), artifact names (.testsettings, binlog), and requests phrased as a developer would type them.
• Partition against sibling skills on the real discriminator, not the topic. "Does the abstraction already exist?" separates two skills; "testing" does not. Add the matching exclusion to both siblings.
• Claim the ambiguous words that would otherwise route to a sibling. If prompts say "review my tests" and a sibling owns "review", say so explicitly.
• Check every DO NOT USE FOR clause against the scenarios the skill exists to serve — an exclusion like "already on v3" can lock out the post-upgrade fixes that are the skill's purpose.
• Budget: 1,024 characters per description, and the whole plugin's rendered skill menu is also budgeted. A helper skill users should never invoke directly can set disable-model-invocation: true to free menu space while staying invocable by name.

Step 3: Write for delta over the baseline model

Every skill is scored head-to-head against the same model with no skill loaded. Content the model already produces unaided is worth zero; content that makes it slower or more hedged is worth less than zero. See improve-skill-quality/references/writing-for-baseline-delta.md for the full evidence.

Do	Instead of
Encode the decision the model would otherwise get wrong	Restating API signatures it already reproduces
"When A, do B, never C, verify D" tables	Lists of plausible alternatives
A concrete output contract (exact command, verdict line, findings table)	"Consider…", "you may want to…"
Scale output structure to input size	A 12-section dashboard for an 8-test suite
Stop-conditions that prevent over-applying	Acting before measuring, rewriting working code
Instructing the agent to discover repo paths	Marking discoverable paths as required inputs
Reporting restore/build/test failures truthfully	Claiming success after a failed command
Verifying load-bearing API claims by compiling or probing	Trusting a source read
Gating rare or expensive paths behind references/	One large SKILL.md carrying every path

Do not over-correct: a skilled answer shorter and less actionable than the baseline's still loses.

Step 4: Create the skill directory

plugins/<plugin>/skills/<skill-name>/
└── SKILL.md

Step 5: Generate SKILL.md with frontmatter

Create the file with the frontmatter drafted in Step 2.

Step 6: Add body content sections

Include these recommended sections:

1. Purpose: One paragraph describing the outcome
2. When to Use: Bullet list of appropriate scenarios
3. When Not to Use: Boundaries and exclusions
4. Inputs: Table of required and optional inputs
5. Workflow: Numbered steps with checkpoints
6. Validation: How to confirm the skill worked correctly
7. Common Pitfalls: Known traps and how to avoid them

Step 7: Add optional directories (if needed)

plugins/<plugin>/skills/<skill-name>/
├── SKILL.md
├── scripts/       # Executable code agents can run
├── references/    # Additional documentation loaded on demand
└── assets/        # Templates, images, data files

Step 8: Update CODEOWNERS

Add entries in .github/CODEOWNERS for the new skill and its test directory:

/plugins/<plugin>/skills/<skill-name>/  @owner-team
/tests/<plugin>/<skill-name>/           @owner-team

Match the owner pattern used by sibling skills in the same plugin.

Step 9: Validate the skill

• Confirm frontmatter fields are valid
• Ensure SKILL.md is under 500 lines
• Check that file references use relative paths
• Verify instructions are actionable and specific
• Run dotnet run --project eng/skill-validator/src/SkillValidator.csproj -- check --plugin ./plugins/<plugin>

Step 10: Add the eval

A skill without an eval.yaml has no evidence that it improves on the baseline. Use create-skill-test to add one in the same pull request, and size it for statistical power — an eval below five counted trials can never return a passing verdict.

The exception is a helper skill with disable-model-invocation: true: the model cannot self-activate it, so an activation-graded eval compares two identical arms. Cover it through the evals of the skills that load it instead.

SKILL.md Template

Use this template when creating a new skill:

---
name: <skill-name>
description: <1-1024 char description of what the skill does and when to use it>
---

# <Skill Title>

<One paragraph describing the skill's purpose and outcome.>

## When to Use

- <Scenario 1>
- <Scenario 2>

## When Not to Use

- <Exclusion 1>
- <Exclusion 2>

## Inputs

| Input | Required | Description |
|-------|----------|-------------|
| <input-name> | Yes/No | <description> |

## Workflow

### Step 1: <Action>

<Instructions for this step>

### Step 2: <Action>

<Instructions for this step>

## Validation

- [ ] <Verification step 1>
- [ ] <Verification step 2>

## Common Pitfalls

| Pitfall | Solution |
|---------|----------|
| <Problem> | <How to avoid or fix> |

Validation Checklist

After creating a skill, verify:

• Skill name matches directory name exactly
• Skill name is lowercase with hyphens only
• Description is non-empty and under 1024 characters
• SKILL.md body is under 500 lines
• Instructions are specific and actionable
• Workflow has numbered steps with clear checkpoints
• Validation section exists with observable success criteria
• No secrets, tokens, or internal URLs included
• .github/CODEOWNERS has entries for the new skill and its test directory
• The description names concrete triggers and excludes the nearest sibling skills
• Every section changes a decision the unskilled model would otherwise get wrong
• The skill states when not to act, and what a truthful failure report looks like
• An eval.yaml exists and clears the trial floor (or the skill is disable-model-invocation: true and covered through its consumers)

Common Pitfalls

Pitfall	Solution
Name contains uppercase letters	Use only lowercase: code-review not Code-Review
Description is vague	Include what it does AND when to use it
Instructions are ambiguous	Use numbered steps with concrete actions
Missing validation steps	Add checkpoints that verify success
SKILL.md too long	Move detailed content to references/ files
Hardcoded environment assumptions	Document requirements in compatibility field
Missing CODEOWNERS entry	Add entries for both /plugins/<plugin>/skills/<skill-name>/ and /tests/<plugin>/<skill-name>/ matching sibling skills' owner pattern
Skill restates what the model already knows	Cut it; a skill is scored as a delta over the unskilled model
Discoverable paths listed as required inputs	Tell the agent to discover them, or it will stop and ask the user
Description partitioned by topic against a sibling	Partition on the real discriminator and exclude on both sides
Exclusion clause blocks the skill's own use cases	Re-read every "do not use for" clause against real workflow phases
Skill added without an eval	Add eval.yaml in the same PR; unevaluated skills carry no evidence

References

• Agent Skills Specification
• Repository README
• Contributing Guidelines
• create-skill-test — authoring the skill's eval.yaml
• improve-skill-quality — fixing a skill that loses to its baseline