Apply first principles thinking to break problems down to fundamental truths and reason up from there. Use this skill when the user is stuck in conventional thinking, needs to challenge assumptions, find breakthrough solutions, or evaluate whether something is truly impossible vs just assumed to be — even if they say 'everyone does it this way', 'is there a fundamentally better approach', 'why does it have to cost this much', or 'challenge my assumptions'.
npx skills add https://github.com/asgard-ai-platform/skills --skill meta-first-principles
IRON LAW: Assumptions Are Not Facts
Most "constraints" are assumed, not physical. "We can't do X" usually means
"We haven't seen anyone do X" or "The current method doesn't allow X."
First principles thinking distinguishes between:
- Physical laws (actual constraints: gravity, thermodynamics)
- Conventions (assumed constraints: "this is how it's done")
1. Identify the assumption: What do "everyone knows" or "everyone does"?
2. Break it down to fundamentals: What are the basic, irreducible facts?
3. Reason up from fundamentals: Given only the base facts, what's the best solution?
→ Fundamental constraint found: the COGS includes an unexamined supplier relationship, not a physical constraint.
For any "it costs too much" problem:
# First Principles Analysis: {Problem}
## The Assumption
{What "everyone knows" or the conventional constraint}
## Decomposition
| Component | Cost/Fact | Physics or Convention? |
|-----------|----------|----------------------|
| {element} | {value} | Physics / Convention |
## Fundamental Truths
{What remains after stripping away assumptions}
## Reasoning Up
{Given only fundamental truths, what's the best approach?}
## Proposed Solution
{What changes if we ignore conventions and reason from fundamentals}
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.
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Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
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.
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.
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.
Take asgard-ai-platform/meta-first-principles from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
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.