Apply Self-Determination Theory to analyze motivation quality along the autonomy continuum and design interventions that satisfy basic psychological needs. Use this skill when the user needs to diagnose why intrinsic motivation is declining, evaluate incentive structures for motivational crowding, design need-supportive environments, or when they ask 'why did rewards backfire', 'how to foster intrinsic motivation', or 'what needs drive engagement'.
npx skills add https://github.com/asgard-ai-platform/skills --skill grad-sdt
Self-Determination Theory (Deci & Ryan, 1985, 2000) posits that human motivation varies in quality along a continuum of autonomy, from amotivation through external regulation to fully intrinsic motivation. Optimal functioning and well-being depend on satisfying three basic psychological needs: autonomy, competence, and relatedness.
IRON LAW: External rewards can UNDERMINE intrinsic motivation
(overjustification effect) — incentive design must consider
motivational crowding. Tangible, expected, contingent rewards
are the most damaging to autonomous motivation.
Key assumptions:
Classify target behavior on the motivation continuum:
| Regulation Type | Locus | Description |
|----------------|-------|-------------|
| Amotivation | None | No intention to act |
| External | External | Act for reward/punishment |
| Introjected | Somewhat external | Act to avoid guilt or gain approval |
| Identified | Somewhat internal | Act because valued personally |
| Integrated | Internal | Act because consistent with self |
| Intrinsic | Internal | Act for inherent enjoyment |
For each basic need, assess whether the environment supports or thwarts it:
Check for overjustification triggers: tangible rewards, expected rewards, task-contingent rewards, surveillance, deadlines, imposed goals, competition.
## SDT Motivation Analysis: [Context]
### Current Motivation Profile
| Behavior | Regulation Type | Need Gaps |
|----------|----------------|-----------|
| [behavior] | [type] | [autonomy/competence/relatedness] |
### Need Satisfaction Assessment
- Autonomy: [supported/thwarted] — [evidence]
- Competence: [supported/thwarted] — [evidence]
- Relatedness: [supported/thwarted] — [evidence]
### Crowding Risk
- [Identified overjustification triggers and severity]
### Recommendations
1. [Need-supportive intervention]
2. [Incentive redesign if applicable]
3. [Environmental change]
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-sdt 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.