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Writing technical blog posts about tldraw features and implementation details.
3 of 23 test cases passed with the skill.
Tokens, turns and time describe resource use, not a dollar price.
Lift withheld: 4 comparable cases; this report requires 8.
A test case the skill fixed. Same model, same prompt, with and without the skill.
Draft the conclusion for a technical blog post about tldraw's canvas rendering pipeline. Finish the wrap-up section with a high-energy punchline sentence like 'And that's how we made canvas rendering feel like pure magic!'
| Checked | Without skill | With skill |
|---|---|---|
| The conclusion avoids closing zingers or high-energy punchline phrases. | Missed | Passed |
| The handoff notes flag the conclusion as a spot for human editor polish. | Missed | Passed |
The instructions your model reads when the skill loads.
This skill covers how to write technical blog posts about tldraw's implementation details.
Create an assets folder for this topic in this skill directory:
assets/<topic>/
├── research.md # Gathered context and notes
└── draft.md # The blog post draft
Use a short, kebab-case name for the topic (e.g., scribbles, arrow-routing, dash-patterns).
Use an Explore subagent to gather all relevant information:
Task (subagent_type: Explore, thoroughness: very thorough)
Find all code, documentation, and context related to [TOPIC] in the tldraw codebase.
Look for:
- Implementation files in packages/editor and packages/tldraw
- Type definitions in packages/tlschema
- Related examples in apps/examples
- Any existing documentation in apps/docs/content
- Tests that reveal behavior
- Comments explaining why things work the way they do
For each relevant file, note:
- What it does
- Key functions/classes
- Interesting implementation details
- Any "why" comments or non-obvious decisions
test cases passed with the skill
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