Agent skill

Doc Condenser

DEPRECATED: The base model handles document condensation and summarization natively at high quality.

Install Doc Condenser

skills CLI

$ npx skills add Mathews-Tom/armory --skill doc-condenser -a claude-code

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

GitHub CLI

$ gh skill install Mathews-Tom/armory doc-condenser --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/Mathews-Tom/armory.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/doc-condenser .claude/skills/doc-condenser && 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/

Paste into Claude Code

Install the "doc-condenser" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/doc-condenser into .claude/skills/doc-condenser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doc-condenser", 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

$skill-installer install https://github.com/Mathews-Tom/armory/tree/main/skills/doc-condenser

Type 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.

skills CLI

$ npx skills add Mathews-Tom/armory --skill doc-condenser -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install Mathews-Tom/armory doc-condenser --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/doc-condenser .agents/skills/doc-condenser && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "doc-condenser" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/doc-condenser into .agents/skills/doc-condenser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doc-condenser", 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.

skills CLI

$ npx skills add Mathews-Tom/armory --skill doc-condenser -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install Mathews-Tom/armory doc-condenser --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/doc-condenser .cursor/skills/doc-condenser && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "doc-condenser" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/doc-condenser into .cursor/skills/doc-condenser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doc-condenser", 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

$ gemini skills install https://github.com/Mathews-Tom/armory.git --path skills/doc-condenser

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add Mathews-Tom/armory --skill doc-condenser -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install Mathews-Tom/armory doc-condenser --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/doc-condenser .gemini/skills/doc-condenser && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "doc-condenser" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/doc-condenser into .gemini/skills/doc-condenser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doc-condenser", 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.

GitHub CLI

$ gh skill install Mathews-Tom/armory doc-condenser

Installs 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).

skills CLI

$ npx skills add Mathews-Tom/armory --skill doc-condenser -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/doc-condenser .github/skills/doc-condenser && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "doc-condenser" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/doc-condenser into .github/skills/doc-condenser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doc-condenser", 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.

skills CLI

$ npx skills add Mathews-Tom/armory --skill doc-condenser -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install Mathews-Tom/armory doc-condenser --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/doc-condenser .opencode/skills/doc-condenser && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "doc-condenser" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/doc-condenser into .opencode/skills/doc-condenser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doc-condenser", 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: doc-condenser
GitHub stars: 328
Token cost: ~1.4k tokens
SKILL.md length: 571 words
Files: 4 (incl. references, assets)
Skills in repo: 80
Repo updated: Oct 6, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

DEPRECATED: The base model handles document condensation and summarization natively at high quality.

Works in 5 steps: Paths first - Every file reference… → Tables over prose - Use tables for… → Code samples stay - Keep small,… → …
Tasks that involve Summarization
SKILL.md covers Core Principles, Output Structure, Transformation Rules and Working with Existing Documents, plus 5 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Doc Condenser is an agent skill from Mathews-Tom/armory. DEPRECATED: The base model handles document condensation and summarization natively at high quality. This skill no longer provides meaningful uplift. Retained for reference only.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files and assets (for example `assets/template.md`, `evals/cases.yaml` and `references/style-guide.md`).

It sits in Writing & Content, covering Summarization. The repository describes itself as: Curated, production-grade skills for AI coding agents. Battle-tested workflows for developers who use AI seriously. The licence is MIT.

When your agent uses it

Tasks that involve Summarization

Example prompts

“/doc-condenser”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

Paths first - Every file reference includes full/relative path
Tables over prose - Use tables for metrics, coverage, file lists
Code samples stay - Keep small, illustrative snippets; remove verbose examples
Commentary, not explanation - Brief context sentences, not paragraphs
One-line history - Reference legacy docs, don't preserve their content

What it can do on your machine

Read from SKILL.md and the folder at commit 4594fb7. 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 markdown).
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

Doc Condenser loads about 1.4k tokens when it runs, and up to ~2.2k if it reads all its reference files. Until then it costs about 48 tokens; SKILL.md has 571 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~48
When it runs · the whole SKILL.md, loaded when a task matches: ~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~2.2k

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 Mathews-Tom/armory at commit 4594fb7, republished under its MIT licence (© Mathews-Tom). 571 words, ~1,393 tokens.

Download SKILL.mdSave it as .claude/skills/doc-condenser/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.

name: doc-condenser
description: DEPRECATED: The base model handles document condensation and summarization natively at high quality. This skill no longer provides meaningful uplift. Retained for reference only.
metadata.version: 1.1.1
metadata.status: deprecated
metadata.category: review
metadata.tags: documentation, summarization, technical-writing, conciseness
metadata.difficulty: beginner

DEPRECATED — Modern Claude models condense and summarize technical documentation natively with comparable quality. The output format preferences encoded here (40% length cap, tables over prose, paths first) are too generic to justify skill overhead. Retained for archival reference only.

Document Condenser

Transform verbose technical documentation into concise, developer-focused specs.

Core Principles

Paths first - Every file reference includes full/relative path
Tables over prose - Use tables for metrics, coverage, file lists
Code samples stay - Keep small, illustrative snippets; remove verbose examples
Commentary, not explanation - Brief context sentences, not paragraphs
One-line history - Reference legacy docs, don't preserve their content

Output Structure

markdown

# [path/to/output.md]

# [Title] - [Subtitle if needed]

## Purpose

[2-3 sentences: what this is, why it exists, key design principle]

## Status

[Table: metrics, rates, performance]

## Architecture Overview

[Optional diagram or brief flow description]
[Only if it aids understanding]

## Implementation Files

[Grouped by category with paths and one-line descriptions]

## [Domain-Specific Sections]

[Tables, code snippets, brief commentary as needed]

## Quick Reference

[Box or code block with key stats for scanning]

See assets/template.md for a copy-ready scaffold of this structure.

Transformation Rules

KEEP

File paths (always full or project-relative)
Metrics and measurements
Code snippets under 15 lines that illustrate patterns
Schema examples and data structures
Coverage/status tables

CONDENSE

Multi-paragraph explanations → 1-2 sentences
Verbose examples → representative snippet + "see X for more"
Implementation checklists → completion status table
Long rationales → single "Design principle: X" line
Code snippets longer than 20 lines → condense to the core pattern + a reference comment pointing to the source file
Rationale sections where the same point is restated across more than 3 sentences → collapse to one "Design principle:" line

REMOVE

Historical context beyond one reference line
Achieved/completed celebration language
Redundant explanations of the same concept
Step-by-step tutorials (link to them instead)
"What we learned" retrospectives

FORMAT

Use code blocks for paths and commands
Group related files under headers
Prefer tables over bullet lists for structured data
End with quick-reference block for scanning

Working with Existing Documents

When condensing an existing verbose doc:

Identify the core purpose (first paragraph of output)
Extract all file paths into grouped tables
Preserve code samples that show patterns
Convert prose sections to tables where possible
Add single history reference line
Verify no information loss on key technical details

Style Guide

See references/style-guide.md for detailed formatting rules, table patterns, and code sample guidelines.

Example Transformation

Before (verbose):

text

We have successfully achieved and EXCEEDED the original goals of this specification!
After many iterations and improvements, our automation rate reached 96.6% which is
above our target of 95%. The team worked hard on this and we're very proud...

After (concise):

text

**v31 PRODUCTION** | 96.6% automation (target: 95%)

Show full SKILL.md (241 more words)Show less

Calibration Rules

Condensed output must not exceed 40% of source document length measured in words.
All file paths present in the original must appear in the condensed output — paths are never dropped.
Code blocks are never removed outright; reduce length by extracting the representative pattern and adding a source reference comment.

Error Handling

Source document has no clear purpose: ask for one sentence of context before condensing — do not infer a purpose and proceed.
A section contains items that are ambiguous between KEEP and REMOVE: default to KEEP and flag the section with a  comment in the output.
Condensed result loses required technical detail identified during verification: restore the omitted detail and re-measure against the 40% length cap; if the cap cannot be met, document the exception inline.
Source contains no file paths: skip the Implementation Files section entirely rather than generating placeholder paths.
Source is a non-text format (image, diagram, spreadsheet): report the format is unsupported and return without output.
Style guide conflicts with source formatting conventions: follow references/style-guide.md and note the override at the top of the output.

Limitations

Works on text documents only; images, diagrams, and binary files cannot be condensed.
Condensation ratio depends on source verbosity — highly structured sources yield less reduction.
Style guide deference (references/style-guide.md) takes precedence over source formatting, which can alter heading levels and table layouts.
Does not follow hyperlinks or fetch referenced external documents; referenced content is noted but not inlined.

Files

SKILL.md and 3 other files (references, assets) in skills/doc-condenser of Mathews-Tom/armory.

SKILL.md
assets/template.md
evals/cases.yaml
references/style-guide.md

Open the folder on GitHubat commit 4594fb7

Compare with similar skills

Doc Condenser 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.

Doc Condenser compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Doc Condenser this skillMathews-Tom/armory	328	—	~1.4k	Automated safety check: Pass	MIT	2 days ago
News Aggregator Skillcclank/news-aggregator-skill	1.3k	—	~2.1k	Automated safety check: Pass	None	4 mo ago
Vss Search ArchiveNVIDIA-AI-Blueprints/video-search-and-summarization	1.9k	—	~3.6k	Automated safety check: Pass	Apache-2.0	today
AI Daily Newsgeekjourneyx/ai-daily-skill	235	—	~2.3k	Automated safety check: Pass	None	today
AnalyzeriBigQiang/feedgrab	614	—	~1k	Automated safety check: Pass	MIT	1 mo ago
Reportmicrosoft/data-formulator	18k	—	~1.5k	Automated safety check: Pass	MIT	today

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Questions about Doc Condenser

What does Doc Condenser do?

DEPRECATED: The base model handles document condensation and summarization natively at high quality. Doc Condenser is an agent skill from Mathews-Tom/armory. DEPRECATED: The base model handles document condensation and summarization natively at high quality.

When should I use Doc Condenser?

Doc Condenser fits situations like: tasks that involve Summarization.

How do I install Doc Condenser in Claude Code?

Run `npx skills add Mathews-Tom/armory --skill doc-condenser -a claude-code`. Or copy the skill folder (skills/doc-condenser in Mathews-Tom/armory) into .claude/skills/doc-condenser in your project. Claude Code loads it when a task matches its description.

How do I install Doc Condenser in Codex?

Run `npx skills add Mathews-Tom/armory --skill doc-condenser -a codex`. Or copy the skill folder (skills/doc-condenser in Mathews-Tom/armory) into .agents/skills/doc-condenser in your project. Codex loads it when a task matches its description.

Can I use Doc Condenser 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 Mathews-Tom/armory --skill doc-condenser -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/doc-condenser, .gemini/skills/doc-condenser, .github/skills/doc-condenser and .opencode/skills/doc-condenser in your project.

What does Doc Condenser need to run?

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

Does Doc Condenser 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 Doc Condenser 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 Doc Condenser use?

Doc Condenser 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 Doc Condenser use?

About 1.4k tokens (SKILL.md is roughly 5.6k 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 814 tokens, read only when the agent opens those files.

What are the alternatives to Doc Condenser?

Skills that share tags, products or a category with Doc Condenser: News Aggregator Skill (cclank/news-aggregator-skill, 1.3k stars), Vss Search Archive (NVIDIA-AI-Blueprints/video-search-and-summarization, 1.9k stars), AI Daily News (geekjourneyx/ai-daily-skill, 235 stars) and Analyzer (iBigQiang/feedgrab, 614 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Doc Condenser?

Mathews-Tom (a GitHub user) maintains it in Mathews-Tom/armory, which has 328 GitHub stars. The repository holds 80 skills in this directory. The repository was last updated on October 6, 2026.

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

Install Doc Condenser

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Document Condenser

Core Principles

Output Structure

Transformation Rules

KEEP

CONDENSE

REMOVE

FORMAT

Working with Existing Documents

Style Guide

Example Transformation

Calibration Rules

Error Handling

Limitations

Files

Compare with similar skills

Similar skills

More from Mathews-Tom/armory

Related

Questions about Doc Condenser