mcpbeat Sign in

Multi Persona Critique Agent Skill

Critique a written proposal or design artifact via 5 philosophical personas in parallel, with consensus synthesis.

13k tokens
context cost
the whole folder, loaded on every use
6
files
instructions only
0
copies elsewhere
how many repositories repackaged it
413
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/notque/vexjoy-agent --skill multi-persona-critique

The instruction itself

13 sections, as written by the author

Multi-Persona Critique: Parallel Philosophical Review of Proposals

Overview

This skill takes a set of proposals — feature ideas, architectural decisions, design choices, strategy options — and sends ALL of them to 5 distinct intellectual personas for parallel, independent critique. Each persona brings a different philosophical lens. The skill then synthesizes all critiques into a consensus report showing where personas agree, where they disagree, and what the disagreements reveal.

This is NOT the roast skill. Key differences:

  • roast critiques CODE with HackerNews personas and validates file:line claims
  • This skill critiques IDEAS/PROPOSALS with philosophical/methodological personas and evaluates logical coherence, practical viability, and human impact
  • roast is evidence-based (checking actual code); this is argument-based (evaluating reasoning)

Key constraints baked into the workflow:

  • Every persona sees ALL proposals — no cherry-picking
  • Personas run in parallel with no awareness of each other — independence is the source of value
  • Ratings are mandatory: STRONG / PROMISING / WEAK / REJECT for every proposal from every persona
  • Rankings are mandatory: each persona orders proposals from strongest to weakest
  • Fairness mandate: genuine strengths must be acknowledged, genuine weaknesses explained with precision
  • Disagreements are preserved, not averaged away — the disagreements ARE the insight
  • The synthesis phase adds cross-cutting analysis, it does not edit persona outputs

Reference Loading Table

| Signal | Load These Files | Why |

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

| example-driven tasks, errors | examples-and-errors.md | Loads detailed guidance from examples-and-errors.md. |

| dispatching the five critique personas (Phase 2) | personas.md | Loads detailed guidance from personas.md. |

| writing the Phase 5 synthesis report | synthesis-template.md | Loads detailed guidance from synthesis-template.md. |

| roast-style code critique with HN personas | roast.md | Loads the roast workflow: evidence-based critique via 5 HN personas with claim validation. |

| HN persona specs, claim format, validation verdicts | hn-personas.md | Loads HN commenter persona specifications, prompt template, and claim format. |

Instructions

Phase 1: UNDERSTAND PROPOSALS

Goal: Extract or generate clear, numbered proposals ready for critique.

Step 1: Determine input mode

| Input | Action |

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

| User provides proposals directly | Extract and number them |

| User says "generate N ideas about X" | Research the domain, read relevant code/docs, then generate proposals |

| Ambiguous input | Ask user to clarify before proceeding |

Step 2: Normalize proposals

Each proposal must be a clear, self-contained description (2-4 sentences) that any of the 5 personas can evaluate independently. If user-provided proposals are vague, expand them to include:

  • What the proposal does
  • Why it matters (the problem it solves)
  • How it differs from the status quo

If generating proposals, research the domain first:

  • Use Glob and Grep to understand existing code, docs, and architecture
  • Use Read to examine key files relevant to the domain
  • Generate proposals grounded in actual context, not hypotheticals

Step 3: Number and present

Present the numbered proposal list back to the user before proceeding. Format:

Proposals for critique:
1. [Title] — [2-4 sentence description]
2. [Title] — [2-4 sentence description]
...

Gate: Numbered list of proposals ready. Each proposal is self-contained with 2-4 sentences. Proceed only when gate passes.

Phase 2: BRIEF PERSONAS

Goal: Construct prompts for each of the 5 personas.

Load the full persona specifications from ${CLAUDE_SKILL_DIR}/references/personas.md. For each persona, construct a prompt containing an identity block, the numbered proposals, rating and ranking requirements, a fairness mandate, and the structured output format — see ${CLAUDE_SKILL_DIR}/references/examples-and-errors.md (Phase 2: Persona Prompt Construction) for the complete construction recipe.

Gate: 5 persona prompts constructed, each containing all proposals and the full persona specification. Proceed only when gate passes.

Phase 3: DISPATCH (Parallel)

Goal: Launch all 5 personas in parallel and collect independent critiques.

Launch 5 agents using the Agent tool, one per persona. Each agent runs independently with no awareness of other personas.

The 5 parallel agents:

  • The Logician (Bertrand Russell)

Focus: Logical coherence, hidden assumptions, falsifiability, necessity vs novelty

  • The Pragmatic Builder (20-year staff engineer)

Focus: Build cost vs value, maintenance burden, simpler alternatives, user need

  • The Systems Purist (Edsger Dijkstra)

Focus: Accidental complexity, separation of concerns, elegance, failure modes

  • The End User Advocate (8-hours-a-day tool user)

Focus: Daily impact, friction, delight, whether the problem is already solved

  • The Skeptical Philosopher (Illich/Postman/Franklin)

Focus: Human agency, dependency risk, genuine vs manufactured problems, unintended consequences

Each agent must produce:

  • A rating (STRONG / PROMISING / WEAK / REJECT) for every proposal with 2-3 sentence justification
  • A ranked list of all proposals from strongest to weakest
  • Any cross-cutting observations that apply to multiple proposals

CRITICAL: Wait for ALL 5 agents to complete before proceeding to Phase 4. Do not begin synthesis on partial results. Every persona must contribute before consensus can be determined.

Gate: All 5 persona reports received. Each report contains ratings for all proposals and a ranked list. Proceed only when gate passes.

Phase 4: SYNTHESIZE

Goal: Build a consensus matrix and identify agreement, disagreement, and cross-cutting patterns.

Step 1: Build the consensus matrix

Create a matrix: proposals (rows) x personas (columns) x ratings. See the consensus matrix template in ${CLAUDE_SKILL_DIR}/references/examples-and-errors.md.

Step 2: Classify consensus patterns

For each proposal, classify:

  • CONSENSUS (4+ personas agree within one tier): Strong signal
  • CONTESTED (2-3 split): The disagreement itself is informative
  • OUTLIER (1 disagrees with 4): Worth understanding why one persona sees differently

Step 3: Extract disagreement specifics

For CONTESTED and OUTLIER proposals, extract the specific disagreement:

  • What does each side see that the other does not?
  • Is the disagreement about values (what matters) or facts (what is true)?
  • Does one persona have domain-relevant insight the others lack?

Step 4: Calculate weighted consensus score

Assign numeric values: STRONG=3, PROMISING=2, WEAK=1, REJECT=0

For each proposal: sum all 5 ratings, giving a score from 0-15.

Step 5: Rank proposals by consensus score

Sort proposals from highest to lowest weighted score. Note ties and what distinguishes tied proposals.

Gate: Consensus matrix complete with classifications, disagreement analysis, and ranked scores. Proceed only when gate passes.

Phase 5: PRESENT

Goal: Deliver the synthesis report using the template from ${CLAUDE_SKILL_DIR}/references/synthesis-template.md.

Load the synthesis template and populate all 7 sections (Consensus Matrix; Features to Build; Worth Investigating; Interesting Disagreements; Shelve; Cross-Cutting Insights; Deepest Insight). See ${CLAUDE_SKILL_DIR}/references/examples-and-errors.md (Phase 5: Synthesis Report Sections) for each section's purpose and score-band criteria.

Gate: Report complete with all sections populated. Critique done.


<!-- no-pair-required: section-header-only; individual failure modes below carry Do-instead blocks -->

Examples, Error Handling, and Detection

See ${CLAUDE_SKILL_DIR}/references/examples-and-errors.md for:

  • Examples: critique provided proposals, generate+critique ideas, evaluate architectural options
  • Failure modes: averaging disagreement, post-hoc rationalization, consensus-as-truth, skipping justification, resolving contested items, sequential execution
  • Error Handling: bare ratings, skipped proposals, uniform agreement, fewer than 2 proposals

References

Reference Files

  • ${CLAUDE_SKILL_DIR}/references/personas.md: Full persona specifications, identity, evaluation criteria, prompt templates
  • ${CLAUDE_SKILL_DIR}/references/synthesis-template.md: Consensus matrix format and synthesis report structure
  • ${CLAUDE_SKILL_DIR}/references/examples-and-errors.md: Worked examples, failure modes, error handling
  • roast: Code critique with evidence-based validation (complementary — roast critiques code, this critiques ideas)
  • decision-helper: Weighted decision scoring for architectural choices (narrower — single-dimension scoring vs multi-persona critique)

Other skills for the same job

different authors, same section of the catalogue
Protocolsio Integration
by christophacham
×4

Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.

16k tokens
Tailored Resume Generator
by frostant
×4

Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances

3k tokens
Excalidraw Diagram Generator
by github
vendor ×3

Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.

36k tokens scripts
Expo Dev Client
by openai
vendor ×3

Build and distribute Expo development clients locally or via TestFlight

961 tokens
Executing Plans
by ZhanlinCui
×3

Use when you have a written implementation plan to execute in a separate session with review checkpoints

542 tokens
Anndata
by christophacham
×3

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

16k tokens
Benchling Integration
by christophacham
×3

Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.

14k tokens
Biopython
by christophacham
×3

Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.

24k tokens

How to use it

Copy the folder

Take notque/multi-persona-critique 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.