Compile a natural-language spec into a tiny neural function that runs locally with ProgramAsWeights (PAW). Use it for fuzzy text-in / text-out tasks that a regex can't handle but that are too slow, costly, or overkill to send to a full LLM on every item - classify, categorize, label, or tag text (sentiment, urgency, intent, topic, spam, support tickets, ALERT vs QUIET log lines); extract fields from messy text (emails, names, dates, IDs, invoice numbers); repair or normalize formats (broken JSON, dates); fuzzy or typo-tolerant matching, near-duplicate detection, and deduplication; map a misspelled value to the closest option; semantic search; log and error triage; and intent routing. Compile once on the hosted API, then run the function locally and offline via the Python or browser/JavaScript SDK; cheaper and faster than calling a large model per item. Not for long-form generation, open-ended chat, writing code, or multi-step reasoning.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryEngineeringStars0
About this skill
Compile a natural-language spec into a tiny neural function that runs locally with ProgramAsWeights (PAW). Use it for fuzzy text-in / text-out tasks that a regex can't handle but that are too slow, costly, or overkill to send to a full LLM on every item - classify, categorize, label, or tag text (sentiment, urgency, intent, topic, spam, support tickets, ALERT vs QUIET log lines); extract fields from messy text (emails, names, dates, IDs, invoice numbers); repair or normalize formats (broken JSON, dates); fuzzy or typo-tolerant matching, near-duplicate detection, and deduplication; map a misspelled value to the closest option; semantic search; log and error triage; and intent routing. Compile once on the hosted API, then run the function locally and offline via the Python or browser/JavaScript SDK; cheaper and faster than calling a large model per item. Not for long-form generation, open-ended chat, writing code, or multi-step reasoning.
Quick start
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Compile a natural-language spec into a tiny neural function that runs locally with ProgramAsWeights (PAW). Use it for fuzzy text-in / text-out tasks that a regex can't handle but that are too slow, costly, or overkill to send to a full LLM on every item - classify, categorize, label, or tag text (sentiment, urgency, intent, topic, spam, support tickets, ALERT vs QUIET log lines); extract fields from messy text (emails, names, dates, IDs, invoice numbers); repair or normalize formats (broken JSON, dates); fuzzy or typo-tolerant matching, near-duplicate detection, and deduplication; map a misspelled value to the closest option; semantic search; log and error triage; and intent routing. Compile once on the hosted API, then run the function locally and offline via the Python or browser/JavaScript SDK; cheaper and faster than calling a large model per item. Not for long-form generation, open-ended chat, writing code, or multi-step reasoning.
About this listing
Category
Engineering
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI