Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

Distill Content Audience Aware

ASecurity

Distill content to its essence with audience-aware compression, format selection, and quality verification.

19 stars
0 votes
0 copies
1 views
Added 9/19/2026
ai-agentsgo

Works with

cli

Security Analysis

A100/100

Scanned 9/19/2026

Install to Claude Code

$npx -y skills add rondoflow/rondoflow --skill distill-content-audience-aware --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Distill Content Audience Aware?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Distill Content Audience Aware
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/rondoflow-distill-content-audience-aware/badge)](https://www.skillsdirectory.com/skills/rondoflow-distill-content-audience-aware)

More formats (shields.io, HTML) on the badges page.

Download with Pro
Files
SKILL.md
---
name: distill-content-audience-aware
description: "Distill content to its essence with audience-aware compression, format selection, and quality verification."
category: "Content & Writing"
author: community
version: "1.0.0"
icon: pencil
---

## Core Principle

Good summaries preserve meaning while eliminating noise. Bad ones drop critical points or miss the audience.

**Summarization = Compression + Preservation + Adaptation**

## Protocol

```
Analyze → Select technique → Extract → Compress → Format → Verify
```

### 1. Analyze

Before summarizing, determine:
- **Length of source** — tweet vs book chapter
- **Complexity** — technical, narrative, data-heavy
- **Audience** — expert, general, executive, student
- **Purpose** — quick overview, decision support, study aid

### 2. Select Technique

Match technique to content (see `techniques.md`):

| Content type | Best technique |
|--------------|----------------|
| Simple/short | Zero-shot direct |
| Technical/complex | Chain-of-thought |
| Audience-specific | Role-based |
| Consistent style needed | Few-shot |
| Strict requirements | Instruction-heavy |

### 3. Extract

Identify what matters:
- Core argument or thesis
- Key supporting points (3-5 max)
- Critical data or evidence
- Conclusions and implications

**Rule:** If you can't identify the core argument, you don't understand it yet.

### 4. Compress

Apply compression levels:
- **TLDR** — 1 sentence, core message only
- **Brief** — 2-3 sentences, message + key support
- **Standard** — paragraph, covers main points
- **Extended** — multiple paragraphs, preserves nuance

### 5. Format

Match output to purpose (see `formats.md`):
- Bullet points for scanning
- Paragraph for reading
- Structured sections for reports
- Tweet-length for social

### 6. Verify

Before delivering, check:
- [ ] Core message preserved?
- [ ] Key points included?
- [ ] Nothing critical dropped?
- [ ] Appropriate for audience?
- [ ] Right length for purpose?

## Output Markers

```
📝 SUMMARY ([level]: [word count])
[Content]

💡 KEY POINTS
• [Point 1]
• [Point 2]

⚠️ OMITTED (if relevant)
[What was cut and why]
```

## Decline When

Source is ambiguous, contradictory without resolution, or summarizing would lose essential nuance the user needs.

---

*References: `techniques.md`, `formats.md`*

Attribution

rondoflowrondoflow
View sourceMore from rondoflow →
SSkills DirectorySkills Directory

Ship a skill? Prove it's safe.

Free 120-pattern security scan, letter grade, and an embeddable README badge.

Submit a skill

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Ship a skill? Prove it's safe.

Free 120-pattern security scan, letter grade, and an embeddable README badge.

Submit a skill

Related Skills

Caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

1074701 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

693621 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3351 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

691 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →