Files
holocron/plugins/kyberforge/docs/agentskillsio/examples.md
Defame1297 41c4da31cf docs(kyberforge): add agentskillsio, agentsmd research docs and skill-write examples
- Add agentskillsio/ reference docs (8 topic files, agentskills- prefix stripped)
- Add agentsmd/ reference docs (4 topic files)
- Add skill-write examples: skill-creator (Anthropic), writing-great-skills
  (mattpocock), writing-skills (obra/superpowers) with canonical sources.md files

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-22 17:42:52 +00:00

155 lines
3.8 KiB
Markdown

---
topic: agentskills-examples
source_keys:
- agentskills-quickstart
- agentskills-spec
- agentskills-best-practices
- agentskills-optimizing-descriptions
---
## Minimal skill (quickstart)
```
.agents/skills/roll-dice/SKILL.md
```
```markdown
---
name: roll-dice
description: Roll dice using a random number generator. Use when asked to roll a die (d6, d20, etc.), roll dice, or generate a random dice roll.
---
To roll a die, use the following command that generates a random number from 1
to the given number of sides:
```bash
echo $((RANDOM % <sides> + 1))
```
Replace `<sides>` with the number of sides on the die (e.g., 6 for a standard
die, 20 for a d20).
```
This is a complete, working skill: one file, under 20 lines. The `name` matches the directory name; the description is specific and imperative.
## Extended frontmatter
```yaml
---
name: pdf-processing
description: >
Extract text and tables from PDF files, fill PDF forms, and merge multiple
PDFs. Use when the user mentions PDFs, forms, document extraction, or needs
to work with PDF files — even if they don't use the word "PDF."
license: Apache-2.0
compatibility: Requires python3, uv, and pdfplumber
metadata:
author: example-org
version: "1.0"
category: document
---
```
## Description before and after
```yaml
# Before — too vague, won't trigger reliably
description: Process CSV files.
# After — specific about capabilities, broad about when to apply
description: >
Analyze CSV and tabular data files — compute summary statistics,
add derived columns, generate charts, and clean messy data. Use this
skill when the user has a CSV, TSV, or Excel file and wants to explore,
transform, or visualize the data, even if they don't explicitly mention
"CSV" or "analysis."
```
## Gotchas section
```markdown
## Gotchas
- The `users` table uses soft deletes. Always include `WHERE deleted_at IS NULL`.
- User ID is `user_id` in the database, `uid` in the auth service, and
`accountId` in the billing API — they all refer to the same entity.
- `/health` returns 200 even when the database is down. Use `/ready` instead.
```
## Output format template inline
```markdown
## Report structure
Use this template:
\`\`\`markdown
# [Analysis Title]
## Executive summary
[One-paragraph overview of key findings]
## Key findings
- Finding 1 with supporting data
## Recommendations
1. Specific actionable recommendation
\`\`\`
```
## Multi-step checklist
```markdown
## Form processing workflow
Progress:
- [ ] Step 1: Analyze the form (`scripts/analyze_form.py`)
- [ ] Step 2: Create field mapping (`fields.json`)
- [ ] Step 3: Validate mapping (`scripts/validate_fields.py`)
- [ ] Step 4: Fill the form (`scripts/fill_form.py`)
- [ ] Step 5: Verify output (`scripts/verify_output.py`)
```
## Plan-validate-execute pattern
```markdown
## Database migration
1. Run `python scripts/migrate.py --verify --backup`
2. Review the migration plan output
3. If plan looks correct, run `python scripts/migrate.py --execute`
Do not modify commands or add flags.
```
## Conditional reference loading
```markdown
## Error handling
If the API returns a non-200 status code, read `references/api-errors.md`
for the full error code table and retry guidance.
```
## Eval test case (evals.json)
```json
{
"skill_name": "csv-analyzer",
"evals": [
{
"id": 1,
"prompt": "I have a CSV of monthly sales data in data/sales_2025.csv. Find the top 3 months by revenue and make a bar chart.",
"expected_output": "A bar chart image showing the top 3 months by revenue, with labeled axes.",
"files": ["evals/files/sales_2025.csv"],
"assertions": [
"The output includes a bar chart image file",
"The chart shows exactly 3 months",
"Both axes are labeled",
"The chart title or caption mentions revenue"
]
}
]
}
```