Agent skill

Semantic Compression

by Warp-net in Warp-net/warpnet

Apply semantic logic compression (Ovchinnikov method) when crafting prompts for LLMs or describing complex conditional logic.

Custom licenceAuto-check passed

Install Semantic Compression

skills CLI
$ npx skills add Warp-net/warpnet --skill semantic-compression -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Warp-net/warpnet semantic-compression --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Warp-net/warpnet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/semantic-compression .claude/skills/semantic-compression && rm -rf skills-src

Use ~/.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/

Facts

Skill name
semantic-compression
GitHub stars
157
Token cost
~1.1k tokens
SKILL.md length
351 words
Files
1
Skills in repo
6
Repo updated
First seen
Licence
Custom licence

At a glance

Apply semantic logic compression (Ovchinnikov method) when crafting prompts for LLMs or describing complex conditional logic.

  • Works in 2 steps: Logical Operators → Structural Markers & Modifiers
  • The user asks to: write
  • SKILL.md covers When to apply, Core symbol set, Compression process and Output format, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Semantic Compression is an agent skill from Warp-net/warpnet. Apply semantic logic compression (Ovchinnikov method) when crafting prompts for LLMs or describing complex conditional logic. Use this skill whenever the user asks to: write or optimise a prompt for an LLM, compress or rewrite a task description, describe multi-condition business logic (if/and/or/not chains), or asks why an LLM misunderstood their instructions. Also trigger when the user says ‘compress the logic’, ‘write a prompt for’, ‘the LLM doesn't understand’, ‘simplify the conditions’, or similar intents…

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Warpnet is a decentralized, peer-to-peer social network/media inspired by Twitter, built with Go. It runs without central servers, using Noise protocol for inter-node…

When your agent uses it

  • The user asks to: write
  • Optimise a prompt for an LLM
  • Rewrite a task description
  • Describe multi-condition business logic (if/and/or/not chains)

Example prompts

  • “/semantic-compression”

Requirements

  • Python 3

Workflow steps

2 steps, taken from the step headings in SKILL.md.

  1. Logical Operators
  2. Structural Markers & Modifiers

What it can do on your machine

Read from SKILL.md and the folder at commit da3b67b. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are write).

    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

Semantic Compression loads about 1.1k tokens when it runs. Until then it costs about 167 tokens; SKILL.md has 351 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~167
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 351 words (~1,118 tokens).

“Convert natural language logic into structured symbolic form that LLMs parse more reliably. This is NOT summarization — it preserves all conditions while making structure explicit.”

— opening of SKILL.md by Warp-net, Custom licence
name
semantic-compression

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/semantic-compression of Warp-net/warpnet.

Open the folder on GitHubat commit da3b67b

Compare with similar skills

Semantic Compression 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.

Semantic Compression compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Semantic Compression this skillWarp-net/warpnet157—~1.1kAutomated safety check: PassCustom licence
Compressionthedaviddias/Front-End-Checklist74k—~421Automated safety check: PassMIT
Spk Doctrine Semantic Compressionspec-kitty/spec-kitty1.7k—~230Automated safety check: PassMIT
CraftLeoYeAI/openclaw-master-skills2.2k—~4.3kAutomated safety check: PassMIT
Semantic Liststhedaviddias/Front-End-Checklist74k—~504Automated safety check: PassMIT
Image Compressionthedaviddias/Front-End-Checklist74k—~405Automated safety check: PassMIT

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    thedaviddias/Front-End-Checklist

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    A skill your agent uses when reviewing rendered HTML, interactive components, or design-system patterns related to Use semantic list elements.

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Questions about Semantic Compression

What does Semantic Compression do?

Apply semantic logic compression (Ovchinnikov method) when crafting prompts for LLMs or describing complex conditional logic. Semantic Compression is an agent skill from Warp-net/warpnet. Apply semantic logic compression (Ovchinnikov method) when crafting prompts for LLMs or describing complex conditional logic.

When should I use Semantic Compression?

Semantic Compression fits situations like: the user asks to: write; optimise a prompt for an LLM; rewrite a task description; describe multi-condition business logic (if/and/or/not chains).

How do I install Semantic Compression in Claude Code?

Run `npx skills add Warp-net/warpnet --skill semantic-compression -a claude-code`. Or copy the skill folder (.claude/skills/semantic-compression in Warp-net/warpnet) into .claude/skills/semantic-compression in your project. Claude Code loads it when a task matches its description.

How do I install Semantic Compression in Codex?

Run `npx skills add Warp-net/warpnet --skill semantic-compression -a codex`. Or copy the skill folder (.claude/skills/semantic-compression in Warp-net/warpnet) into .agents/skills/semantic-compression in your project. Codex loads it when a task matches its description.

Can I use Semantic Compression 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 Warp-net/warpnet --skill semantic-compression -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/semantic-compression, .gemini/skills/semantic-compression, .github/skills/semantic-compression and .opencode/skills/semantic-compression in your project.

What does Semantic Compression need to run?

SKILL.md names no scripts, command-line tools or credentials: Semantic Compression is instructions for the agent only. Our summary lists: Python 3.

Does Semantic Compression 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 Semantic Compression 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. Review the folder before installing.

What licence does Semantic Compression use?

Semantic Compression has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Semantic Compression use?

About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Semantic Compression?

Skills that share tags, products or a category with Semantic Compression: Compression (thedaviddias/Front-End-Checklist, 74k stars), Spk Doctrine Semantic Compression (spec-kitty/spec-kitty, 1.7k stars), Craft (LeoYeAI/openclaw-master-skills, 2.2k stars) and Semantic Lists (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Semantic Compression?

Warp-net (a GitHub organization) maintains it in Warp-net/warpnet, which has 157 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 7, 2026.

Source: Warp-net/warpnet on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.