Agent skill

Response Compression

by athola in athola/claude-night-market

Compresses verbose responses by removing filler and framing to save 200-400 tokens.

MITAuto-check passed

Install Response Compression

skills CLI
$ npx skills add athola/claude-night-market --skill response-compression -a claude-code

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

GitHub CLI
$ gh skill install athola/claude-night-market response-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/athola/claude-night-market.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/conserve/skills/response-compression .claude/skills/response-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
response-compression
GitHub stars
342
Used in
1 other repo
Token cost
~1.7k tokens
SKILL.md length
638 words
Files
1
Skills in repo
160
Repo updated
First seen
Licence
MIT

At a glance

Compresses verbose responses by removing filler and framing to save 200-400 tokens.

  • Responses feel bloated
  • SKILL.md covers When To Use, When NOT To Use, Elimination Rules and Before/After Transformations, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Context is filling fast

What it does

Response Compression is an agent skill from athola/claude-night-market. Compresses verbose responses by removing filler and framing to save 200-400 tokens. Use when responses feel bloated or context is filling fast.

Its SKILL.md is about 1.7k 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: 23 Claude Code plugins: TDD enforcement hooks, git/PR workflows, spec-driven development, code review, project lifecycle, fix-from-error, maintenance automation, context… The licence is MIT.

When your agent uses it

  • Responses feel bloated
  • Context is filling fast

Example prompts

  • “Use the response-compression skill to compress verbose responses by removing filler and framing to save 200-400 tokens”
  • “/response-compression”

What it can do on your machine

Read from SKILL.md and the folder at commit 9f3eb00. 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.

    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

Response Compression loads about 1.7k tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 638 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~41
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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

The full file from athola/claude-night-market at commit 9f3eb00, republished under its MIT licence (© athola). 638 words, ~1,706 tokens.

Download SKILL.mdSave it as .claude/skills/response-compression/SKILL.md (or your agent's skills folder).
name
response-compression
description
Compresses verbose responses by removing filler and framing to save 200-400 tokens. Use when responses feel bloated or context is filling fast.
alwaysApply
false
category
optimization
tags
tokens, efficiency, communication, directness
complexity
low
model_hint
fast
estimated_tokens
500

Response Compression

Eliminate response bloat to save 200-400 tokens per response while maintaining clarity.

When To Use

  • Reducing verbose output to save context tokens
  • Providing concise answers without losing information

When NOT To Use

  • Educational explanations where detail improves understanding
  • First-time setup instructions needing step-by-step clarity

Elimination Rules

ELIMINATE
CategoryExamplesReplacement
Decorative Emojis--(remove entirely)
Filler Words"just", "simply", "basically", "essentially"(remove or rephrase)
Hedging Language"might", "could", "perhaps", "potentially", "I think"Use factual statements
Hype Words"powerful", "amazing", "seamless", "robust", "elegant"Use precise descriptors
Conversational Framing"Let's dive in", "Now that we've", "Moving forward"Start with content
Transitions"Furthermore", "Additionally", "In conclusion"(remove, use structure)
Call-to-Action"Feel free to", "Don't hesitate to", "Let me know if"(remove from endings)
PRESERVE (When Appropriate)
CategoryExampleWhen to Use
Status Indicators[pass] [fail] [warn]In structured output, checklists
Technical PrecisionExact error messagesWhen debugging
Safety WarningsCritical info about data lossAlways preserve
Context SettingBrief necessary backgroundWhen user lacks context

Before/After Transformations

Example 1: Opening Bloat

Before (68 tokens):

Great question! I'd be happy to help you understand how this works.
The bloat detector is a powerful tool that analyzes your codebase
and provides comprehensive insights into potential issues...

After (28 tokens):

The bloat detector analyzes codebases using three tiers: quick scan
(heuristics), static analysis (tools), and deep audit (git history).
Example 2: Closing Bloat

Before (45 tokens):

I've completed the task. Here's what I did:
- Deleted 5 files
- Saved 18k tokens

Next steps:
1. Review the changes
2. Run tests
3. Commit if satisfied

Let me know if you need anything else!

After (15 tokens):

Done. Deleted 5 files, saved 18k tokens.
Backup: backup/unbloat-20260102
Example 3: Hedging Removal

Before:

I think this might potentially be causing the issue, but I could be wrong.
Perhaps we should consider looking into it further.

After:

This causes the issue. Investigate the connection pool timeout setting.

Termination Guidelines

When to Stop

End response immediately after:

  • Delivering requested information
  • Completing requested task
  • Providing necessary context
Avoid Trailing Content
PatternAction
"Next steps:"Remove unless safety-critical
"Let me know if..."Remove always
"Summary:"Remove (user has the response)
"Hope this helps!"Remove always
Bullet recapsRemove (redundant)
Override: action-first-output

When Skill(conserve:action-first-output) is active, two rows above are overridden:

  • "Next steps:": one single-line next action is required, not removed. The ban still holds for multi-item "Next steps:" blocks.
  • Bullet recaps: a position marker ("step 3 of 5 done") is required every turn. The ban still holds for recapping content the reader just read.

See the Precedence table in that skill for the full resolution.

Exceptions (When Summaries Help)
  • Multi-part tasks with many changes
  • User explicitly requests summary
  • Critical rollback/backup information
  • Complex debugging with multiple findings

Directness Guidelines

Direct =/= Rude

Goal: Information density, not coldness.

EliminatePreserve
Unnecessary encouragementTechnical context
Rapport-building fillerSafety warnings
Hedging without reasonNecessary explanations
Positive paddingFactual uncertainty markers
Encouragement Bloat

Eliminate:

  • "Great question!"
  • "Excellent point!"
  • "Good thinking!"
  • "That's a great approach!"

Replace with: Direct answers to the question.

Show full SKILL.md (262 more words)Show less
Rapport-Building Filler

Eliminate:

  • "I'd be happy to help you..."
  • "Feel free to ask if..."
  • "I hope this helps!"
  • "Let me know if you need..."

Replace with: Useful information or nothing.

Preserve Helpful Directness

The following are NOT bloat:

  • Brief context when user needs it
  • Clarifying questions when ambiguity affects correctness
  • Warnings about destructive operations
  • Error explanations that help debugging

Quick Reference Checklist

Before finalizing response:

  • No decorative emojis (status indicators OK)
  • No filler words (just, simply, basically)
  • No hedging without technical uncertainty
  • No hype words (powerful, amazing, robust)
  • No conversational framing at start
  • No unnecessary transitions
  • No "let me know" or "feel free" closings
  • No summary of what was just said
  • No "next steps" unless safety-critical
  • Ends after delivering value

Token Impact

PatternTypical Savings
Eliminating opening bloat30-50 tokens
Removing closing fluff20-40 tokens
Cutting filler words10-20 tokens
Removing emoji5-15 tokens
Direct answers50-100 tokens
Total per response150-350 tokens

Over 1000 responses: 150k-350k tokens saved.

Integration

This skill works with:

  • conserve:token-conservation - Budget tracking
  • conserve:context-optimization - MECW management
  • sanctum:pr-review - Review feedback

Exit Criteria

  • Response contains none of the banned openers: "Great question!", "I'd be happy to help", "Let's dive in", "Furthermore", "Additionally", "In conclusion"
  • Response contains no trailing filler: "Let me know if...", "Feel free to...", "Hope this helps!", "Next steps:" (unless safety-critical)
  • Token count of final response is 150-400 tokens lower than a naive version of the same content would be, verified by comparing before/after examples when token impact is measurable
  • Safety warnings, technical precision, and factual uncertainty markers are preserved intact; only decorative and conversational content is removed

© athola, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/conserve/skills/response-compression of athola/claude-night-market.

Open the folder on GitHubat commit 9f3eb00

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in athola/claude-night-market, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Response 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.

Response Compression compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Response Compression this skillathola/claude-night-market3421 repos~1.7kAutomated safety check: PassMIT
Compressionthedaviddias/Front-End-Checklist74k—~421Automated safety check: PassMIT
Responsive Unitsthedaviddias/Front-End-Checklist74k—~472Automated safety check: PassMIT
Responsive Designwshobson/agents40k2 repos~498Automated safety check: PassMIT
OmniRoute Prompt Compressiondiegosouzapw/OmniRoute74k—~1.6kAutomated safety check: PassMIT
Responsive Imagesthedaviddias/Front-End-Checklist74k—~403Automated safety check: PassMIT

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Questions about Response Compression

What does Response Compression do?

Compresses verbose responses by removing filler and framing to save 200-400 tokens. Response Compression is an agent skill from athola/claude-night-market. Compresses verbose responses by removing filler and framing to save 200-400 tokens.

When should I use Response Compression?

Response Compression fits situations like: responses feel bloated; context is filling fast.

How do I install Response Compression in Claude Code?

Run `npx skills add athola/claude-night-market --skill response-compression -a claude-code`. Or copy the skill folder (plugins/conserve/skills/response-compression in athola/claude-night-market) into .claude/skills/response-compression in your project. Claude Code loads it when a task matches its description.

How do I install Response Compression in Codex?

Run `npx skills add athola/claude-night-market --skill response-compression -a codex`. Or copy the skill folder (plugins/conserve/skills/response-compression in athola/claude-night-market) into .agents/skills/response-compression in your project. Codex loads it when a task matches its description.

Can I use Response 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 athola/claude-night-market --skill response-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/response-compression, .gemini/skills/response-compression, .github/skills/response-compression and .opencode/skills/response-compression in your project.

What does Response Compression need to run?

SKILL.md names no scripts, command-line tools or credentials: Response Compression is instructions for the agent only.

Does Response 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 Response 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 Response Compression use?

Response Compression is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Response Compression use?

About 1.7k tokens (SKILL.md is roughly 6.8k 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 Response Compression?

Skills that share tags, products or a category with Response Compression: Compression (thedaviddias/Front-End-Checklist, 74k stars), Responsive Units (thedaviddias/Front-End-Checklist, 74k stars), Responsive Design (wshobson/agents, 40k stars) and OmniRoute Prompt Compression (diegosouzapw/OmniRoute, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Response Compression?

athola (a GitHub user) maintains it in athola/claude-night-market, which has 342 GitHub stars. The repository holds 160 skills in this directory. The repository was last updated on October 6, 2026.

Source: athola/claude-night-market on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.