Install practical cognitive-bias workflows as portable SKILL.md files. The same skill can be used across Agent Skills-compatible tools instead of being rewritten for every agent.
Every published canonical cognitive bias has its own focused Agent Skill, generated from the canonical library and free to install. Broader workflow skills remain available for jobs such as decision review, evidence evaluation, forecasting, verification and AI-assisted reasoning.
Trust boundary: the initial collection is instruction-only. It contains no executable scripts, requests no secrets and needs no external API to run.
Explain or compare a named cognitive bias using an evidence-aware lens. Use when a user asks what a bias means, whether two concepts differ, or how a bias may matter in a decision. Do not diagnose people or treat a bias label as proof of cause.
Review an important decision for cognitive-bias risks without pretending the decision can be made bias-free. Separate facts, assumptions and unknowns; surface a few plausible lenses; challenge them; and produce concrete checks and next actions.
Evaluate whether a claim deserves confidence before repetition, fluency, vivid examples or preference are mistaken for evidence. Use for research, proposals, fact checks and consequential AI-generated claims.
Make a decision without pretending uncertainty has disappeared. Use ranges, reference classes, independent estimates, future-value thinking and explicit review triggers when anchors, recent events or sunk costs may distort judgment.
Produce forecasts that can be challenged and learned from later. Use an outside view, explicit uncertainty, pre-outcome assumptions and a durable forecast record instead of one-point certainty and reconstructed hindsight.
Review how a judgment was formed without confusing confidence, outcome and hindsight with decision quality. Use for retrospectives, decision journals and learning from past choices.
Verify important information by tracing provenance, counting independent sources instead of repetitions, preserving corrections and keeping verified, disputed and unknown claims separate.
Use AI to expand reasoning without letting the first generated answer become an anchor, treating fluent output as evidence, or outsourcing the final judgment. Use for consequential recommendations, estimates and research with AI assistants.
Every published canonical cognitive bias has its own portable SKILL.md. The workflow collection remains available for broader jobs such as forecasting, evidence evaluation and decision review.
Every listing exposes the complete SKILL.md before installation. Hermes and OpenClaw get direct copy commands. Other Agent Skills-compatible tools can use the same file through their own skill import or skill-directory mechanism.