When you're stuck on a decision or need to see a problem from multiple angles, this runs a structured deliberation using 12 distinct thinking archetypes like The Contrarian, The Empiricist, The Futurist, and The Pragmatist. You get 4-6 perspectives chosen to productively clash, not agree, then a synthesis that names the core tension rather than papering over it. Works best on questions with real trade-offs where your own frame might be limiting you. Can run quick 3-member councils or deep 6-member ones, anonymous mode to reduce bias, even multi-round debates. The insight is usually in what they disagree about, not where they converge.

skills.sh installs
2.1K
GitHub stars
56.6K
last updated
Aug 21, 2026

Install

$ npx -y skills add k-dense-ai/scientific-agent-skills --skill consciousness-council --agent claude-code

Installs into .claude/skills of the current project.

Files

Consciousness Council

A structured exercise that simulates several thinking archetypes, each emphasizing different assumptions and priorities, then synthesizes their perspectives. These are generated viewpoints from one system, not independent experts or independent evidence. Label factual claims, assumptions, and value judgments separately; verify consequential factual claims against external sources.

When to use

Use for a requested comparison of competing priorities or assumptions, including research planning decisions. The output is a decision aid: a conditional recommendation, unresolved questions, and a next step. It does not establish scientific validity by agreement or by the number of perspectives.

This skill runs within the current conversation. It has no bundled code, service API, credentials, or MindBook connection; use the host's available research tools when factual verification is needed. Do not claim that it creates hosted sessions, stores persistent memories, or contacts real experts.

Before deliberation

Sponsors

Details

Repository
github.com/k-dense-ai/scientific-agent-skills
Categories
AI & Agent Building, Productivity & Planning
First seen
Jun 3, 2026

More from k-dense-ai/scientific-agent-skills

All 137
1catalyst-cooperative avatarpudlcatalyst-cooperative/agent-skillsExplore and understand PUDL energy data: discover which tables exist, look up column meanings and usage warnings, and load Parquet files from S3 or a local dire2.1Kskills.sh installs
2k-dense-ai avatarsimpyk-dense-ai/scientific-agent-skillsBuild, inspect, test, and analyze bounded process-based discrete-event simulations with SimPy, including events, resources, interrupts, monitoring, replications2.1Kskills.sh installs
30xhubed avatarrisk-management0xhubed/agent-trading-arenaRisk management rules learned from competition outcomes. Use when sizing positions or setting stop-losses.2.1Kskills.sh installs
4k-dense-ai avatarpymook-dense-ai/scientific-agent-skillsMulti-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimi2.1Kskills.sh installs
5k-dense-ai avatarscikit-biok-dense-ai/scientific-agent-skillsBiological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick 2.1Kskills.sh installs
6k-dense-ai avatarwhat-if-oraclek-dense-ai/scientific-agent-skillsRun structured What-If scenario analysis with 4–6 branch possibility exploration (best, likely, worst, wild card, contrarian, second-order). Use when the user a2.1Kskills.sh installs