Apply pragmatist philosophy (Peirce, James, Dewey) to frame knowledge as instrumental for action, evaluate ideas by their practical consequences, and conduct inquiry as problem-solving. Use this skill when the user needs to bridge theory and practice, evaluate competing theories by their usefulness, employ abductive reasoning to generate hypotheses, or when they ask 'which theory is more useful here', 'how do I move from abstract ideas to actionable knowledge', or 'what practical difference does this distinction make'.
npx skills add https://github.com/asgard-ai-platform/skills --skill grad-pragmatism
Pragmatism holds that the meaning and truth of ideas lie in their practical consequences. Originating with Peirce, James, and Dewey, it treats knowledge not as a mirror of reality but as a tool for action. Inquiry is triggered by doubt, proceeds through abductive hypothesis generation, and is validated by its capacity to resolve problematic situations.
IRON LAW: The meaning of a concept lies in its PRACTICAL CONSEQUENCES —
a distinction that makes no practical difference is no distinction at all.
Key assumptions:
Define the indeterminate situation that triggers inquiry. What doubt, friction, or breakdown initiated the need for knowledge?
Generate candidate explanations using abduction (inference to the best explanation). Ask: "What hypothesis, if true, would make this situation intelligible and actionable?"
For each hypothesis or concept, identify its practical consequences. What actions does it suggest? What experiences would follow if it were true? What difference does it make?
Test hypotheses through action (experiment, intervention, practice). Evaluate results not as final truth but as warranted assertibility — justified belief that resolves the problematic situation.
## Pragmatist Analysis: [Context]
### Problematic Situation
- Trigger: [what doubt or breakdown initiated inquiry]
- Indeterminacy: [what is unclear or contested]
- Stakeholders: [who is affected and seeking resolution]
### Competing Hypotheses
| Hypothesis | Practical Consequences | Actions Implied | Testability |
|------------|----------------------|-----------------|-------------|
| [H1] | [what follows if true] | [what to do] | [how to test] |
| [H2] | [what follows if true] | [what to do] | [how to test] |
### Consequential Evaluation
- Most useful hypothesis: [which one and why]
- Practical difference: [what changes in action based on this choice]
- Residual uncertainty: [what remains unresolved]
### Warranted Assertibility
- Assertion: [the conclusion supported by inquiry so far]
- Warrant: [evidence and practical success supporting it]
- Revisability: [conditions that would reopen inquiry]
### Implications
1. [Actionable recommendation grounded in inquiry]
2. [What further inquiry would strengthen the warrant]
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.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
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.
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/grad-pragmatism 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.