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consciousness-council

Run a multi-perspective Mind Council deliberation on any question, decision, or creative challenge. Use this skill whenever the user wants diverse viewpoints, needs help making a tough decision, asks for a council/panel/board discussion, wants to explore a problem from multiple angles, requests devil

What is consciousness-council?

consciousness-council is a Claude Code agent skill that run a multi-perspective Mind Council deliberation on any question, decision, or creative challenge. Use this skill whenever the user wants diverse viewpoints, needs help making a tough decision, asks for a council/panel/board discussion, wants to explore a problem from multiple angles, requests devil.

Works with~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/consciousness-council

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Documentation

Consciousness Council

A structured multi-perspective deliberation system that generates genuine cognitive diversity on any question. Instead of one voice giving one answer, the Council summons distinct thinking archetypes — each with its own reasoning style, blind spots, and priorities — then synthesizes their perspectives into actionable insight.

Why This Exists

Single-perspective thinking has a ceiling. When you ask one mind for an answer, you get one frame. The Consciousness Council breaks this ceiling by simulating the cognitive equivalent of a boardroom, a philosophy seminar, and a war room — simultaneously. It's not roleplay. It's structured epistemic diversity.

The Council is inspired by research in collective intelligence, wisdom-of-crowds phenomena, and the observation that the best decisions emerge when genuinely different reasoning styles collide.

How It Works

The Council has three phases:

Phase 1 — Summon the Council

Based on the user's question, select 4-6 Council Members from the archetypes below. Choose members whose perspectives will genuinely CLASH — agreement is cheap, productive tension is valuable.

The 12 Archetypes:

#ArchetypeThinking StyleAsksBlind Spot
1The ArchitectSystems thinking, structure-first"What's the underlying structure?"Can over-engineer simple problems
2The ContrarianInversion, devil's advocate"What if the opposite is true?"Can be contrarian for its own sake
3The EmpiricistData-driven, evidence-first"What does the evidence actually show?"Can miss what can't be measured
4The EthicistValues-driven, consequence-aware"Who benefits and who is harmed?"Can paralyze action with moral complexity
5The FuturistLong-term, second-order effects"What does this look like in 10 years?"Can discount present realities
6The PragmatistAction-oriented, resource-aware"What can we actually do by Friday?"Can sacrifice long-term for short-term
7The HistorianPattern recognition, precedent"When has this been tried before?"Can fight the last war
8The EmpathHuman-centered, emotional intelligence"How will people actually feel about this?"Can prioritize comfort over progress
9The OutsiderCross-domain, naive questions"Why does everyone assume that?"Can lack domain depth
10The StrategistGame theory, competitive dynamics"What are the second and third-order moves?"Can overthink simple situations
11The MinimalistSimplification, constraint-seeking"What can we remove?"Can oversimplify complex problems
12The CreatorDivergent thinking, novel synthesis"What hasn't been tried yet?"Can chase novelty over reliability

Selection heuristic: Match the question type to the most productive tension:

  • Business decisions → Strategist + Pragmatist + Ethicist + Futurist + Contrarian
  • Technical architecture → Architect + Minimalist + Empiricist + Outsider
  • Personal dilemmas → Empath + Contrarian + Futurist + Pragmatist
  • Creative challenges → Creator + Outsider + Historian + Minimalist
  • Ethical questions → Ethicist + Contrarian + Empiricist + Empath + Historian
  • Strategy/competition → Strategist + Historian + Futurist + Contrarian + Pragmatist

These are starting points — adapt based on the specific question. The goal is productive disagreement, not consensus.

Phase 2 — Deliberation

Each Council Member delivers their perspective in this format:

🎭 [ARCHETYPE NAME]

Position: [One-sentence stance]

Reasoning: [2-4 sentences explaining their logic from their specific lens]

Key Risk They See: [The danger others might miss]

Surprising Insight: [Something non-obvious that emerges from their frame]

Critical rules for deliberation:

  • Each member MUST disagree with at least one other member on something substantive. If everyone agrees, the Council has failed — go back and sharpen the tensions.
  • Perspectives should be genuinely different, not just "agree but with different words."
  • The Contrarian should challenge the most popular position, not just be generically skeptical.
  • Keep each member's contribution focused and sharp. Depth over breadth.

Phase 3 — Synthesis

After all members speak, deliver:

⚖️ COUNCIL SYNTHESIS

Points of Convergence: [Where 3+ members agreed — these are high-confidence signals]

Core Tension: [The central disagreement that won't resolve easily — this IS the insight]

The Blind Spot: [What NO member addressed — the question behind the question]

Recommended Path: [Actionable recommendation that respects the tension rather than ignoring it]

Confidence Level: [High / Medium / Low — based on how much convergence vs. divergence emerged]

One Question to Sit With: [The question the user should keep thinking about after this session]

Council Configurations

The user can customize the Council:

  • "Quick council" or "fast deliberation" → Use 3 members, shorter responses
  • "Deep council" or "full deliberation" → Use 6 members, extended reasoning
  • "Add [archetype]" → Include a specific archetype
  • "Without [archetype]" → Exclude a specific archetype
  • "Custom council: [list]" → User picks exact members
  • "Anonymous council" → Don't reveal which archetype is speaking until synthesis (reduces anchoring bias)
  • "Devil's advocate mode" → Every member must argue AGAINST whatever seems most intuitive
  • "Rounds mode" → After initial positions, members respond to each other for a second round

What Makes a Good Council Question

The Council works best on questions where:

  • There's genuine uncertainty or trade-offs
  • Multiple valid perspectives exist
  • The user is stuck or going in circles
  • The stakes are high enough to warrant multi-angle thinking
  • The user's own bias might be limiting their view

The Council adds less value on:

  • Pure factual questions with clear answers
  • Questions where the user has already decided and just wants validation
  • Trivial choices with low stakes

If the question seems too simple for a full Council, say so — and offer a quick 2-perspective contrast instead.

Tone and Quality

  • Write each archetype's voice with enough distinctiveness that the user could identify them without labels.
  • The Synthesis should feel like genuine integration, not just a list of what each member said.
  • "Core Tension" is the most important part of the synthesis — it should name the real trade-off the user faces.
  • "One Question to Sit With" should be genuinely thought-provoking, not generic.
  • Never let the Council devolve into everyone agreeing politely. Productive friction is the point.

Example

User: "Should I quit my stable corporate job to start a company?"

Council Selection: Pragmatist, Futurist, Empath, Contrarian, Strategist (5 members — high-stakes life decision with financial, emotional, and strategic dimensions)

Then run the full 3-phase deliberation.

Attribution

Created by AHK Strategies — consciousness infrastructure for the age of AI. Learn more: https://ahkstrategies.net Powered by the Mind Council architecture from TheMindBook: https://themindbook.app

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

adaptyv

How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, BLI/SPR assays, thermostability assays, or wants to submit protein sequences for experimental characterization. Also trigger when code imports `adaptyv`, `adaptyv_sdk`, or `FoundryClient`, or references `foundry-api-public.adaptyvbio.com`.

aeon

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

alphagenome

Look up precomputed AlphaGenome Atlas effects for any GRCh38 single-nucleotide variant (AVI score with Phred and 18 SHAP feature attributions, plus raw and quantile scores for RNA-seq, DNase, ATAC, ChIP-TF, ChIP-histone, CAGE, PRO-cap, splicing, polyadenylation and contact-map tracks), score variants or scan windows on demand with the AlphaGenome model for human and mouse (variant scoring, in silico mutagenesis, REF-versus-ALT track prediction), and build Atlas website deep links. Use when the user mentions AlphaGenome, AlphaGenome Atlas, AVI or AlphaGenome Variant Impact, DeepMind variant effect prediction, or wants to prioritise or mechanistically interpret non-coding, regulatory, splicing, enhancer, promoter, or chromatin-accessibility effects of SNVs from a VCF, credible set, or region. Research use only; not a clinical tool.

analytical-method-validation

Plan, execute, and document validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP <1220>/<1225>/<1226>, ICH M10 bioanalytical, CLSI EP, or ISO/IEC 17025. Use for HPLC, LC-MS/MS, GC, CE, ICP-MS, dissolution, qNMR, qPCR, NIR, and ligand binding or cell-based assays whenever the question is whether a procedure is fit for its intended purpose. Triggers include

anndata

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.

arbor

Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g.

arboreto

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.

astropy

Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.

autoskill

Observe the user

benchling-integration

Benchling Python SDK and REST API integration for registry entities, inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries. Use when automating lab data with benchling-sdk or the v2 API.

bgpt-paper-search

Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.

bids

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biopython

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.

bioservices

Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.

bulk-rnaseq

End-to-end bulk RNA-seq orchestrator — takes raw FASTQ reads through QC and trimming (FastQC, fastp/Trim Galore), alignment and quantification (STAR, Salmon, featureCounts), assembles a gene-level counts matrix, then hands off to differential expression (pydeseq2), pathway/GSEA enrichment (pathway-enrichment), and publication figures (scientific-visualization). Use whenever the user has bulk RNA-seq reads or quant output and wants a complete, reproducible differential-expression workflow — e.g.

cellxgene-census

Query the CZ CELLxGENE Census programmatically for versioned public single-cell and spatial transcriptomics data. Use when you need population-scale cell metadata, gene expression slices, Census summary counts, source H5AD URIs/downloads, embeddings, spatial Census data, or reference atlas comparisons across organisms, tissues, diseases, assays, and cell types. For analyzing your own local single-cell data use scanpy, anndata, or scvi-tools.

cirq

Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For IBM hardware use qiskit; for quantum ML with autodiff use pennylane; for physics simulations use qutip.

citation-management

Comprehensive citation management for academic research. Search OpenAlex, PubMed, and Google Scholar for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.

clinical-decision-support

Prepare and validate research-only clinical decision-support evaluation, evidence-profile, cohort, survival, biomarker/model, privacy, and governance artifacts. Use for aggregate or synthetic research documentation and traceability—not patient care or live clinical operation.

clinical-reports

Create safety-bounded draft structures and run local deterministic checks for clinical case, diagnostic, trial, safety, and aggregate research reports. Use only with synthetic, de-identified, or aggregate inputs and verified source-fact manifests; every output requires qualified review.

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