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Hum Discourse Agent Skill

Apply discourse analysis to examine how language constructs meaning, power relationships, and social reality in texts and communications. Use this skill when the user needs to analyze how a text frames an issue, uncover hidden assumptions in language, examine power dynamics in communication, or deconstruct media/corporate/political messaging — even if they say 'what's really being said here', 'how is this framing the issue', or 'analyze the language in this document'.

7k tokens
context cost
the whole folder, loaded on every use
3
files
instructions only
0
copies elsewhere
how many repositories repackaged it
223
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/asgard-ai-platform/skills --skill hum-discourse

What comes with it

21 515 bytes besides the instruction
examples/sample_scenario.md
references/cda-framework.md

The instruction itself

11 sections, as written by the author

Discourse Analysis

Overview

Discourse analysis examines how language shapes (not just reflects) reality. It reveals how texts construct identities, power relationships, and social norms through word choice, framing, and what is left unsaid. Especially valuable for analyzing media, corporate communications, policy documents, and political speech.

Framework

IRON LAW: Language Constructs Reality, Not Just Describes It

The choice of words is never neutral. "Restructuring" vs "layoffs",
"enhanced interrogation" vs "torture", "undocumented workers" vs
"illegal aliens" — same events, different realities constructed.

Discourse analysis examines WHAT language does, not just what it says.

Key Analytical Dimensions

  • Framing: How is the issue defined? What metaphors are used? What's included/excluded?
  • Subject positions: Who is positioned as agent (active doer) vs patient (passive receiver)?
  • Presupposition: What is taken for granted without being stated?
  • Intertextuality: What other texts/discourses does this reference or draw upon?
  • Power relations: Whose voice is amplified? Whose is silenced?

Analysis Steps

  • Select the text: What specific communication are you analyzing?
  • Context: Who produced it? For whom? In what setting? What's the purpose?
  • Lexical analysis: What word choices are notable? What alternatives were available?
  • Structural analysis: How is the text organized? What comes first? What's emphasized?
  • What's absent: What is NOT said? Who is NOT represented?
  • Power mapping: Who benefits from this particular framing?

Output Format

# Discourse Analysis: {Text/Document}

## Context
- Producer: {who created this text}
- Audience: {intended recipients}
- Purpose: {stated and unstated goals}
- Genre: {press release / policy doc / speech / ad}

## Framing Analysis
| Element | In the Text | Alternative Framing | Effect |
|---------|------------|-------------------|--------|
| {key term} | "{actual language}" | "{what could have been said}" | {how this shapes perception} |

## Subject Positions
- Agent (active): {who does things}
- Patient (passive): {who has things done to them}
- Absent: {who is not mentioned}

## Presuppositions
- {what the text assumes without stating}

## Power Analysis
- This framing benefits: {who}
- This framing disadvantages: {who}

## Key Findings
{What the discourse analysis reveals that a surface reading misses}

Examples

Correct Application

Scenario: Analyzing a tech company's layoff announcement

Text: "We are making the difficult decision to right-size our organization to better position ourselves for long-term growth."

| Element | Text | Alternative | Effect |

|---------|------|-------------|--------|

| "right-size" | Implies current size is wrong | "lay off 500 employees" | Euphemism hides human impact |

| "our organization" | Company as abstract entity | "our colleagues" | Removes personal connection to affected people |

| "difficult decision" | Positions management as suffering | "decision that will displace 500 families" | Redirects sympathy toward decision-makers |

| "long-term growth" | Forward-looking justification | No mention of what caused over-hiring | Skips accountability for the situation |

Subject positions: Management = agents making "difficult decisions" (sympathetic). Employees = completely absent as subjects. ✓

Incorrect Application

  • "This press release is biased" → Too vague. Which words? What framing? Bias toward what? Discourse analysis requires specific textual evidence. Violates Iron Law: analyze what language DOES.

Gotchas

  • All language is "constructed": Discourse analysis doesn't mean the text is "lying." Even honest communication makes framing choices. The question is what those choices reveal and conceal.
  • Analyst's own discourse: Your analysis is also a discourse with its own framing and assumptions. Be reflexive about your own position.
  • Context is everything: The same words mean different things in different contexts. "We need to move fast" in a startup vs in a hospital has very different implications.
  • Don't over-read: Not every word choice is strategic. Sometimes "right-size" is just corporate jargon the writer learned, not a deliberate framing strategy. Consider intentionality.
  • Discourse analysis is not fact-checking: It examines how meaning is constructed, not whether claims are true. Pair with evidence-based analysis for a complete picture.

References

  • For Fairclough's Critical Discourse Analysis framework, see references/cda-framework.md

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How to use it

Copy the folder

Take asgard-ai-platform/hum-discourse from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.