analysis-guess-author-role
Tool to guess an author's role from provided text with low confidence.
Install
mkdir -p .claude/skills/analysis-guess-author-role && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/11096" && unzip -o skill.zip -d .claude/skills/analysis-guess-author-role && rm skill.zipInstalls to .claude/skills/analysis-guess-author-role
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Market listener analysis.guess_author_role weak role guesserKey capabilities
- →Classify author roles
- →Infer profession from text
- →Enforce confidence thresholds
How it works
It uses classification to infer an author's profession from raw text, strictly enforcing low-confidence thresholds.
Inputs & outputs
When to use analysis-guess-author-role
- →Classifying author types
- →Market listening
About this skill
Skill — analysis.guess_author_role
Intent
Guess the author role from text with low confidence (weak signal only).
Inputs
role_request:
raw_text: string
Outputs
role_result:
role_guess: enum [founder, employee, developer, ops, student, hobbyist, unknown]
confidence: number
Tools
- llm.classify
Policy
- Return ONLY valid JSON.
- Confidence must be <= 0.5.
- If uncertain, return unknown with confidence 0.1.
Failure Modes
- Invalid JSON: caller falls back to unknown/0.1.
When not to use it
- →High-confidence classification needs
Limitations
- →Confidence must be <= 0.5
- →Limited to predefined roles
How it compares
It is designed for weak signal inference rather than high-confidence classification.
Compared to similar skills
analysis-guess-author-role side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| analysis-guess-author-role (this skill) | 0 | 5mo | No flags | Intermediate |
| quant-analyst | 103 | 2mo | No flags | Advanced |
| umap-learn | 6 | 2mo | Review | Intermediate |
| embedding-strategies | 8 | 2mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
You might also like
quant-analyst
zenobi-us
Expert quantitative analyst specializing in financial modeling, algorithmic trading, and risk analytics. Masters statistical methods, derivatives pricing, and high-frequency trading with focus on mathematical rigor, performance optimization, and profitable strategy development.
umap-learn
K-Dense-AI
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
embedding-strategies
wshobson
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
building-automl-pipelines
jeremylongshore
Build automated machine learning pipelines, including feature engineering, model selection, and performance evaluation.
model-compare
rawwerks
Compare 3D CAD models using boolean operations (IoU, Dice, precision/recall). Use when evaluating generated models against gold references, diffing CAD revisions, or computing similarity metrics for ML training. Triggers on: model diff, compare models, IoU, intersection over union, model similarity, CAD comparison, STEP diff, 3D evaluation, gold reference, generated model, precision recall 3D.
matchms
davila7
Mass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS data processing.