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SKILL verified Unlicense Self-run

Julia Threads

skill-krastanov-juliallmagentskills-julia-threads · by Krastanov

Implement and debug Julia multithreading with Threads.@threads, Threads.@spawn, threadpools, locks, atomics, and race-avoidance patterns. Use this skill when parallelizing CPU work, configuring Julia thread counts, fixing data races, or handling thread-specific caveats such as task migration.

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Install

$ agentstack add skill-krastanov-juliallmagentskills-julia-threads

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Julia Threads

Use Julia Base.Threads tools to parallelize CPU work while preserving thread safety.

Start Julia with the Right Thread Configuration

Use CLI flags or env vars before launch:

julia --threads 4
export JULIA_NUM_THREADS=4

Check runtime layout:

Threads.nthreads(:default)
Threads.nthreads(:interactive)
Threads.threadid()

Use threadpools for responsiveness and interactive tasks.

Pick the Execution Primitive

  • Use Threads.@threads for parallel loops over iteration spaces.
  • Use Threads.@spawn for task-based parallel decomposition.
  • Use @spawn :interactive ... for latency-sensitive tasks.

For reduction-style work, avoid shared mutable accumulators; split work into independent chunks and combine results after fetch.

Enforce Data-Race Freedom

Treat race freedom as a hard requirement:

  • Protect shared mutable state with ReentrantLock, @lock, or lock(... do ...).
  • Prefer Base.Lockable to bind lock + protected object.
  • Use Threads.Atomic / atomic_* for primitive shared counters and similar patterns.
  • Use per-field atomics (@atomic, @atomicswap, @atomicreplace, @atomiconce) when field-level ordering is required.

Handle Migration and Runtime Caveats

  • Do not assume threadid() stays constant inside a task.
  • Avoid per-thread buffers indexed by threadid() unless migration constraints are handled.
  • Expect @spawn scheduling order to be nondeterministic.
  • Insert GC.safepoint() in long compute-bound loops if needed to prevent GC starvation.
  • Avoid parallel top-level include/eval of types/modules/methods.

Reference

  • references/threading-patterns.md - thread setup, safety, and synchronization patterns

Related Skills

  • julia-async - task/channel concurrency and event scheduling
  • julia-tests - validating threaded behavior in tests

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.