python-async-patterns
Master Python asynchronous programming with asyncio, async/await, and concurrent.futures. Use for async code and concurrency patterns.
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Installation for Agentic Skill
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git clone https://github.com/TheBushidoCollective/han cp -r han/jutsu/jutsu-python/skills/python-async-patterns ~/.claude/skills/ Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- TheBushidoCollective (GitHub)
- Repository
- han
- Type
- Technical
- Meta-Domain
- development
- Primary Domain
- python
- Market Score
- 68.0
Agent Skill Grade
D
Score: 68/100
Click to see breakdown
Score Breakdown
Areas to Improve
- 667-line file with no reference layering; all patterns inline rather than in separate reference files
- File exceeds 100 lines but has no table of contents for navigation
- Description is vague; misses specific triggers like 'producer-consumer', 'semaphore', 'rate limiting'
Recommendations
- Focus on improving Pda (currently 13/30)
- Address 1 high-severity issues first
- Add trigger phrases to description for discoverability
Graded: 1/18/2026
Developer Feedback
I took a look at your python-async-patterns skill and wanted to share some thoughts.
Links:
TL;DR
You're at 68/100, which lands you in D territory. This is based on Anthropic's best practices for skill structure and usability. Your Spec Compliance is solid (13/15)—the frontmatter and naming conventions are clean. But Progressive Disclosure Architecture is the real drag here (13/30)—you've got a 667-line monolith when you should have a layered structure, and that's costing you significant points on token efficiency and navigation.
What's Working Well
- Spec compliance is tight — Valid YAML, correct naming conventions, you've got the foundation right
- Comprehensive pattern coverage — You're hitting real async pain points:
asyncio.gather, task cancellation, context managers, producer-consumer patterns - Bonus points applied — The grader gave you +5 for comprehensive error handling and exemplary examples, which shows the content quality is there
The Big One: Monolithic Structure
Here's the issue: you've crammed 667 lines into a single SKILL.md file with 15+ async patterns inline. That violates Progressive Disclosure Architecture, which accounts for 30 points of your grade.
Why it matters: A user looking for "how do I implement producer-consumer?" shouldn't have to scan through 667 lines. You're burning token budget on repetitive examples and burying useful patterns in navigation noise.
The fix: Reorganize into a references/ directory structure:
python-async-patterns/
├── SKILL.md (now ~50 lines: intro + links to patterns)
├── references/
│ ├── basic_asyncawait.md
│ ├── asyncio_gather.md
│ ├── producer_consumer.md
│ ├── context_managers.md
│ └── (etc. for each major pattern)
Keep one solid example per pattern in each reference file. Link from SKILL.md. This reorganization alone gets you +8 points.
Other Things Worth Fixing
Add a table of contents — At 667 lines, you need a TOC right after the intro. Users can't jump to what they need. (+1 point)
Beef up your description triggers — Currently reads "async code and concurrency patterns." Add specific triggers like
producer-consumer,semaphore,rate-limiting,aiohttp. This helps discoverability and gets you +3 points on Ease of Use.Consolidate redundant examples — You've got multiple near-identical
gather()examples and repeatedfetch_urlpatterns. Merge them down to one solid example per concept. This cleans up Writing Style (+2 points).Add workflow checklists — Complex patterns like producer-consumer have code but no numbered steps. Add "1. Create Queue with maxsize → 2. Define producer → 3. Define consumer" guidance. Gets you +2 on Ease of Use.
Quick Wins
- Restructure to references/ → +8 points
- Add TOC + better triggers → +4 points
- Consolidate examples → +2 points
- Add workflow checklists → +2 points
That's +16 points with focused effort. You'd land around 84/100 (B territory) if you hit these.
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