How do I install the Nlp Deterministic skill?

Run npx skillmds@latest add zedarvates/nlp-deterministic in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Nlp Deterministic safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Nlp Deterministic?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Nlp Deterministic free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Nlp Deterministic?

zedarvates (@zedarvates) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Nlp Deterministic by zedarvates — Agent Skill

Name: Nlp Deterministic
Author: zedarvates

Nlp Deterministic

Classify and extract from text WITHOUT an LLM — intent classification (lexical overlap + local embedding), entity extraction (regex/gazetteers for urls/emails/ips/paths/env vars/flags/numbers), and stopword-filtered keyword frequency. Deterministic, instant, 0 cloud tokens. Use instead of asking a model to classify text or extract entities, and as the routing/intent layer that keeps cheap language decisions off the LLM.

zedarvates d20d9bd 5 files · 12.4 KB Updated Sep 17, 2026

File contents

nlp_deterministic — classify & extract without a model

Many "ask the model to classify / extract" calls don't need a model: a rule + gazetteer + local-embedding pass is deterministic, instant, 0 cloud tokens. This is the NLP half of the determinism program (alongside the combinatorial solvers): replace LLM reasoning for structured language decisions with exact, repeatable computation.

python -m skills.nlp_deterministic.cli classify "speed up my SQL" perf=fast,optimize,slow auth=login,token
python -m skills.nlp_deterministic.cli entities "GET https://x.io from 10.0.0.1 with $TOKEN --json"
python -m skills.nlp_deterministic.cli keywords "cache the cache so queries stay fast"

classify(text, intents) — intents = {label: [keywords]}. Score = keyword recall blended with a local hash-embedding cosine ([[ingest]] embedding + [[vector_protocol]] cosine, offline). Returns the best label + per-label scores.
extract_entities(text) — regexes for urls, emails, IPs, file paths, env vars ($VAR/%VAR%), CLI flags (--flag), and numbers.
keywords(text) — stopword-filtered (EN+FR) frequency keyphrases.

Exposed via [[llm_mcp]] as nlp_classify and nlp_extract. Pairs with [[auto_router]] (effort/intent before routing) and [[skill_finder]]. Deterministic classification is the cheapest possible routing/triage layer — 0 tokens, always the same answer.

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