Python asyncio mastery — event loop, tasks, streams and concurrency patterns
Deep guide to async Python: coroutines, tasks, event loop, concurrency vs parallelism, synchronization primitives, queues, streams, context managers, error handling and real-world patterns
- What
- Deep guide to async Python: coroutines, tasks, event loop, concurrency vs parallelism, synchronization primitives, queues, streams, context managers, error handling and real-world patterns
- Cost
- Free
- Needs
- a Python 3.8+ project — the skill is an async expertise guide the agent follows, not software
- Install
- Copy the installer prompt below into your Muse — your agent does the rest.
Curated by Skill Harbor — @bobmatnyc's asyncio skill: a genuinely deep guide to async Python, from the first event-loop diagram to production patterns. Covers coroutines and awaitables, tasks and TaskGroups, the event loop (run, run_until_complete, call_soon), concurrency vs parallelism (threads vs processes vs async), synchronization primitives (Lock, Event, Semaphore, Condition, Barrier), queues and producer/consumer pipelines, async iterators and generators, streams (StreamReader/StreamWriter), async context managers, timeouts, cancellation, shielding, error handling and retries, real-world patterns (gathering results, connection pools, rate limiting, fan-out/fan-in, background tasks), plus an asyncio vs Trio vs Curio comparison and learning resources. Honest caveats: knowledge base stated for Python 3.8+ — verify newer syntax against your interpreter; this is a reference guide, not a code fixer — the agent explains and writes async code with you. MIT licensed (manifest record authoritative). Skill Harbor never reviews the code, review it yourself before use. Discovered via skills.sh.
Version:
Install
Prerequisites: a Python 3.8+ project — the skill is an async expertise guide the agent follows, not software Install "Python asyncio mastery — event loop, tasks, streams and concurrency patterns" for me. It gives my agent @bobmatnyc's deep asyncio guide: coroutines, tasks and TaskGroups, the event loop, concurrency vs parallelism, synchronization primitives (Lock, Event, Semaphore, Condition, Barrier), queues and pipelines, async iterators/generators, streams, async context managers, timeouts, cancellation, shielding, error handling, real-world patterns (gathering, connection pools, rate limiting, fan-out/fan-in, background tasks), and an asyncio vs Trio vs Curio comparison. NOTE: knowledge base stated for Python 3.8+ — verify newer syntax against my interpreter. MIT-licensed (manifest record authoritative). Repository: https://github.com/bobmatnyc/claude-mpm-skills/blob/main/toolchains/python/async/asyncio/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "asyncio". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. point the agent at the async problem or codebase; nothing else — it's an expertise guide). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.
Questions
How do I install a build?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.
What does the ✓ next to a creator’s name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.