Bio Batch Processing
FreedomIntelligence/OpenClaw-Medical-Skills
Process multiple sequence files in batch using Biopython. An agent skill from FreedomIntelligence/OpenClaw-Medical-Skills.
A skill your agent uses when running imgaug batches in background processes or threads, tuning Pool/queue behavior, or diagnosing slow and hanging augmentation.
MITAuto-check passed
Install Multicore And Diagnostics
$ npx skills add VectorSpaceLab/AREX-Skill --skill multicore-and-diagnostics -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill multicore-and-diagnostics --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/imgaug/sub-skills/multicore-and-diagnostics .claude/skills/multicore-and-diagnostics && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "multicore-and-diagnostics" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/imgaug/sub-skills/multicore-and-diagnostics into .claude/skills/multicore-and-diagnostics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multicore-and-diagnostics", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/imgaug/sub-skills/multicore-and-diagnosticsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add VectorSpaceLab/AREX-Skill --skill multicore-and-diagnostics -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill multicore-and-diagnostics --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/repositories/repo-skills/imgaug/sub-skills/multicore-and-diagnostics .agents/skills/multicore-and-diagnostics && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "multicore-and-diagnostics" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/imgaug/sub-skills/multicore-and-diagnostics into .agents/skills/multicore-and-diagnostics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multicore-and-diagnostics", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VectorSpaceLab/AREX-Skill --skill multicore-and-diagnostics -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill multicore-and-diagnostics --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/repositories/repo-skills/imgaug/sub-skills/multicore-and-diagnostics .cursor/skills/multicore-and-diagnostics && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "multicore-and-diagnostics" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/imgaug/sub-skills/multicore-and-diagnostics into .cursor/skills/multicore-and-diagnostics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multicore-and-diagnostics", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/VectorSpaceLab/AREX-Skill.git --path skills/repositories/repo-skills/imgaug/sub-skills/multicore-and-diagnostics--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add VectorSpaceLab/AREX-Skill --skill multicore-and-diagnostics -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill multicore-and-diagnostics --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/repositories/repo-skills/imgaug/sub-skills/multicore-and-diagnostics .gemini/skills/multicore-and-diagnostics && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "multicore-and-diagnostics" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/imgaug/sub-skills/multicore-and-diagnostics into .gemini/skills/multicore-and-diagnostics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multicore-and-diagnostics", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install VectorSpaceLab/AREX-Skill multicore-and-diagnosticsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add VectorSpaceLab/AREX-Skill --skill multicore-and-diagnostics -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/repositories/repo-skills/imgaug/sub-skills/multicore-and-diagnostics .github/skills/multicore-and-diagnostics && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "multicore-and-diagnostics" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/imgaug/sub-skills/multicore-and-diagnostics into .github/skills/multicore-and-diagnostics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multicore-and-diagnostics", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VectorSpaceLab/AREX-Skill --skill multicore-and-diagnostics -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill multicore-and-diagnostics --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/repositories/repo-skills/imgaug/sub-skills/multicore-and-diagnostics .opencode/skills/multicore-and-diagnostics && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "multicore-and-diagnostics" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/imgaug/sub-skills/multicore-and-diagnostics into .opencode/skills/multicore-and-diagnostics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multicore-and-diagnostics", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
multicore-and-diagnostics- GitHub stars
- 330
- Token cost
- ~922 tokens
- SKILL.md length
- 274 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 159
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when running imgaug batches in background processes or threads, tuning Pool/queue behavior, or diagnosing slow and hanging augmentation.
- Works in 4 steps: Read references/multicore-workflows.md… → Read… → Run scripts/tiny_multicore_smoke.py… → …
- Running imgaug batches in background processes
- SKILL.md covers What this sub-skill covers, What it does not cover, Typical triggers and Fast path, plus 3 more sections
- Runs Python scripts from its folder
What it does
Multicore And Diagnostics is an agent skill from VectorSpaceLab/AREX-Skill. Use when running imgaug batches in background processes or threads, tuning Pool/queue behavior, or diagnosing slow and hanging augmentation.
Its SKILL.md is about 920 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/diagnostics-and-performance.md`, `references/multicore-workflows.md` and `references/troubleshooting.md`).
The repository describes itself as: A Skill Library for Automated Machine Learning. The licence is MIT.
When your agent uses it
- Running imgaug batches in background processes
- Tuning Pool/queue behavior
- Diagnosing slow and hanging augmentation
Example prompts
- “/multicore-and-diagnostics”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Read references/multicore-workflows.md for API patterns and safe defaults.
- Read references/diagnostics-and-performance.md before tuning worker counts or queues.
- Run scripts/tiny_multicore_smoke.py before attempting a large workload.
- Read references/troubleshooting.md for hangs, pickling errors, platform issues, and queue exhaustion.
What it can do on your machine
Read from SKILL.md and the folder at commit ac3fe1a. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Multicore And Diagnostics loads about 922 tokens when it runs, and up to ~2.4k if it reads all its reference files. Until then it costs about 42 tokens; SKILL.md has 274 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from VectorSpaceLab/AREX-Skill at commit ac3fe1a, republished under its MIT licence (© VectorSpaceLab). 274 words, ~922 tokens.
Download SKILL.mdSave it as
.claude/skills/multicore-and-diagnostics/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- multicore-and-diagnostics
- description
- Use when running imgaug batches in background processes or threads, tuning Pool/queue behavior, or diagnosing slow and hanging augmentation.
- disable-model-invocation
- true
- metadata.disco-role
- operating
- license
- MIT
Multicore and Diagnostics
Use this sub-skill for imgaug's CPU parallelism and diagnostic surfaces: augment_batches(..., background=True), Augmenter.pool(), imgaug.multicore.Pool, BatchLoader, BackgroundAugmenter, safe smoke checks, and performance/hang triage.
What this sub-skill covers
- Batch-oriented background augmentation.
- Process pools,
map_batches,imap_batches,chunksize,processes,seed, andmaxtasksperchild. BatchLoaderandBackgroundAugmenterqueue/worker configuration.- Pickling and platform start-method caveats.
- Small, deterministic diagnostics that do not open GUI windows or run huge loops.
What it does not cover
- Core augmenter composition belongs to
../augmentation-pipelines/SKILL.md. - Detailed annotation object and batch data layouts belong to
../augmentables-and-batches/SKILL.md. - RNG/distribution internals belong to
../parameters-random-and-utilities/SKILL.md.
Typical triggers
- “How do I augment batches in the background?”
- “Use all CPUs except one for imgaug.”
- “Why does
BackgroundAugmenterhang?” - “What should
chunksizeor queue size be?” - “Prove the multiprocessing path with a tiny fixture before scaling up.”
Fast path
- Read
references/multicore-workflows.mdfor API patterns and safe defaults. - Read
references/diagnostics-and-performance.mdbefore tuning worker counts or queues. - Run
scripts/tiny_multicore_smoke.pybefore attempting a large workload. - Read
references/troubleshooting.mdfor hangs, pickling errors, platform issues, and queue exhaustion.
Verified signatures
Augmenter.augment_batches(batches, hooks=None, background=False)Augmenter.pool(processes=None, maxtasksperchild=None, seed=None)imgaug.multicore.Pool(augseq, processes=None, maxtasksperchild=None, seed=None)Pool.map_batches(batches, chunksize=None)Pool.imap_batches(batches, chunksize=1, output_buffer_size=None)BatchLoader(load_batch_func, queue_size=50, nb_workers=1, threaded=True)BackgroundAugmenter(batch_loader, augseq, queue_size=50, nb_workers='auto')BackgroundAugmenter.get_batch()
Safe starting pattern
from imgaug.augmentables.batches import UnnormalizedBatch
import imgaug.augmenters as iaa
seq = iaa.Sequential([iaa.Fliplr(0.5), iaa.GaussianBlur((0.0, 1.0))])
batches_aug = seq.augment_batches(batches, background=True)
for batch in batches_aug:
consume(batch)For explicit process control:
with seq.pool(processes=-1, seed=1) as pool:
batches_aug = pool.imap_batches(batches, chunksize=1)
for batch in batches_aug:
consume(batch)Negative processes reserves that many logical cores when possible; -1 means all but one. Start with a tiny batch list and scale only after the smoke passes.
Diagnostic order
- Run the root environment check.
- Run the tiny multicore smoke with one or two batches.
- Replace custom lambdas/callbacks with top-level picklable functions.
- Reduce
processes, queue sizes, and batch sizes. - Only then tune
chunksize,maxtasksperchild, or background queue depth.
© VectorSpaceLab, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 4 other files (scripts, references) in skills/repositories/repo-skills/imgaug/sub-skills/multicore-and-diagnostics of VectorSpaceLab/AREX-Skill.
- SKILL.md
- references/diagnostics-and-performance.md
- references/multicore-workflows.md
- references/troubleshooting.md
- scripts/tiny_multicore_smoke.py
Open the folder on GitHubat commit ac3fe1a
Compare with similar skills
Multicore And Diagnostics next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Multicore And Diagnostics this skillVectorSpaceLab/AREX-Skill | 330 | — | ~922 | Automated safety check: Pass | MIT | |
| Bio Batch ProcessingFreedomIntelligence/OpenClaw-Medical-Skills | 3.1k | 1 repos | ~2.2k | Automated safety check: Pass | None | |
| Batchasgeirtj/system_prompts_leaks | 69k | — | ~1.3k | Automated safety check: Pass | CC0-1.0 | |
| Batch ProcessZJU-REAL/Easel | 3.3k | — | ~555 | Automated safety check: Pass | Apache-2.0 | |
| Batch Processing Clinical Textmaziyarpanahi/openmed | 5.5k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Batchcodewhale-hq/Codewhale | 41k | — | ~157 | Automated safety check: Pass | MIT |
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Questions about Multicore And Diagnostics
What does Multicore And Diagnostics do?
A skill your agent uses when running imgaug batches in background processes or threads, tuning Pool/queue behavior, or diagnosing slow and hanging augmentation. Multicore And Diagnostics is an agent skill from VectorSpaceLab/AREX-Skill. Use when running imgaug batches in background processes or threads, tuning Pool/queue behavior, or diagnosing slow and hanging augmentation.
When should I use Multicore And Diagnostics?
Multicore And Diagnostics fits situations like: running imgaug batches in background processes; tuning Pool/queue behavior; diagnosing slow and hanging augmentation.
How do I install Multicore And Diagnostics in Claude Code?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill multicore-and-diagnostics -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/imgaug/sub-skills/multicore-and-diagnostics in VectorSpaceLab/AREX-Skill) into .claude/skills/multicore-and-diagnostics in your project. Claude Code loads it when a task matches its description.
How do I install Multicore And Diagnostics in Codex?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill multicore-and-diagnostics -a codex`. Or copy the skill folder (skills/repositories/repo-skills/imgaug/sub-skills/multicore-and-diagnostics in VectorSpaceLab/AREX-Skill) into .agents/skills/multicore-and-diagnostics in your project. Codex loads it when a task matches its description.
Can I use Multicore And Diagnostics in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add VectorSpaceLab/AREX-Skill --skill multicore-and-diagnostics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/multicore-and-diagnostics, .gemini/skills/multicore-and-diagnostics, .github/skills/multicore-and-diagnostics and .opencode/skills/multicore-and-diagnostics in your project.
What does Multicore And Diagnostics need to run?
Going by SKILL.md and its folder, Multicore And Diagnostics needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Multicore And Diagnostics access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Multicore And Diagnostics safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Multicore And Diagnostics use?
Multicore And Diagnostics is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Multicore And Diagnostics use?
About 922 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.4k tokens, read only when the agent opens those files.
What are the alternatives to Multicore And Diagnostics?
Skills that share tags, products or a category with Multicore And Diagnostics: Bio Batch Processing (FreedomIntelligence/OpenClaw-Medical-Skills, 3.1k stars), Batch (asgeirtj/system_prompts_leaks, 69k stars), Batch Process (ZJU-REAL/Easel, 3.3k stars) and Batch Processing Clinical Text (maziyarpanahi/openmed, 5.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Multicore And Diagnostics?
VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 330 GitHub stars. The repository holds 159 skills in this directory. The repository was last updated on September 3, 2026.
Source: VectorSpaceLab/AREX-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.