Apply the Knowledge-Based View (Grant, 1996) and Nonaka and Takeuchi's SECI model to analyze how organizations create, transfer, and integrate knowledge for competitive advantage. Use this skill when the user needs to design knowledge management systems, understand why knowledge transfer fails across teams, evaluate knowledge creation processes, or when they ask 'how do we capture tacit knowledge', 'why does knowledge stay siloed', or 'how can we turn individual expertise into organizational capability'.
npx skills add https://github.com/asgard-ai-platform/skills --skill grad-strat-kbv
The Knowledge-Based View (Grant, 1996) positions knowledge as the most strategically significant resource of the firm. The firm exists because it integrates specialized knowledge more efficiently than markets. Nonaka and Takeuchi (1995) complement this with the SECI model explaining how knowledge is created through conversion between tacit and explicit forms.
IRON LAW: Tacit knowledge cannot be directly transferred — it must
be CONVERTED. Any knowledge management strategy that assumes tacit
knowledge can be simply documented and distributed will fail.
Conversion requires interaction, practice, and socialization.
Key assumptions:
| Type | Characteristics | Transfer Mechanism | Strategic Value |
|------|----------------|-------------------|-----------------|
| Tacit | Personal, context-specific, hard to articulate | Apprenticeship, mentoring, practice | High (hard to imitate) |
| Explicit | Codified, systematic, easily communicated | Documents, databases, manuals | Lower (easy to copy) |
| Mode | From → To | Process | Example |
|------|-----------|---------|---------|
| Socialization | Tacit → Tacit | Shared experience, observation | Apprenticeship, job shadowing |
| Externalization | Tacit → Explicit | Articulation through dialogue, metaphor | Writing best practices from expert intuition |
| Combination | Explicit → Explicit | Systemizing and integrating codified knowledge | Database merging, report synthesis |
| Internalization | Explicit → Tacit | Learning by doing from codified sources | Practicing from a manual until it becomes intuitive |
## Knowledge Analysis: [Context]
### Knowledge Asset Map
| Knowledge Domain | Type (Tacit/Explicit) | Owner | Strategic Value | Transfer Risk |
|-----------------|----------------------|-------|-----------------|---------------|
| [domain] | [type] | [who] | [H/M/L] | [H/M/L] |
### SECI Assessment
| Mode | Current State | Bottleneck | Intervention |
|------|--------------|-----------|--------------|
| Socialization | [active/weak/absent] | ... | ... |
| Externalization | ... | ... | ... |
| Combination | ... | ... | ... |
| Internalization | ... | ... | ... |
### Recommendations
1. [per SECI mode or integration mechanism]
A consulting firm losing knowledge when senior partners retire: strong combination (explicit knowledge databases) but weak socialization (junior staff lack mentoring time with partners). Recommendation: structured apprenticeship program to enable tacit-to-tacit transfer before externalization attempts.
Proposing a "knowledge management database" as the sole solution for capturing expert knowledge. This addresses only the combination mode and ignores the Iron Law — tacit knowledge must first be converted through socialization or externalization before it can be stored.
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-strat-kbv 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.