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Repositório GitHub

chess-experiments

chess-experiments contém 22 skills coletadas de Xmaster6y, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.

skills coletadas
22
Stars
1
atualizado
2026-03-17
Forks
0
Cobertura ocupacional
12 categorias ocupacionais · 100% classificado
explorador de repositórios

Skills neste repositório

experiment-implementation
Desenvolvedores de software

How to change code, tests, configs, and launch in this repo; output is concrete edits and run commands.

2026-03-17
lczerolens
Cientistas de dados

Provides guidance for interpretability of Leela Chess Zero (lc0) neural networks. Use when loading lc0 models, encoding chess boards, running inference, visualizing heatmaps, probing concepts, evaluating on puzzles, or pairing with tdhook, captum, zennit, or nnsight for XAI.

2026-03-17
tdhook
Cientistas de dados

Provides guidance for interpreting and manipulating neural network internals using tdhook with TensorDict and PyTorch hooks. Use when needing attribution maps, activation analysis, probing, steering, activation patching, or weight-level interventions on PyTorch or TensorDict models.

2026-03-17
background-writing
Redatores técnicos

Turn grouped literature notes into background or related-work text; no claims beyond what the notes support.

2026-03-16
claims-evidence
Desenvolvedores de software

Map claims in the paper to results, configs, or code; avoid unsupported claims.

2026-03-16
experimental-design
Físicos

Patterns and checklists for designing and refining experiments in this research template.

2026-03-16
literature-notes
Cientistas biológicos, todos os outros

One-paper-per-note structure and grouping by theme; output is structured notes usable for background/related work.

2026-03-16
literature-review
Professores de antropologia e arqueologia do ensino superior

Structured patterns for searching, selecting, and summarizing prior work relevant to this project.

2026-03-16
literature-search
Assistentes de biblioteca, clerical

Queries, venues, time windows, and inclusion/exclusion criteria; output is a list of papers with short rationale.

2026-03-16
paper-review-contribution
Editores

Evaluate novelty and contribution clarity (are contributions stated and supported?).

2026-03-16
paper-review-questions
Professores de ciência da computação, pós-secundário

Identify open questions and missing details (what a reviewer would ask).

2026-03-16
paper-review-strengths
Cientistas biológicos, todos os outros

Identify strengths of the paper with evidence (what works well and why).

2026-03-16
paper-review-weaknesses
Cientistas biológicos, todos os outros

Identify weaknesses of the paper with evidence (what is lacking or problematic).

2026-03-16
paper-writing
Cientistas biológicos, todos os outros

Guidance for drafting and refining LaTeX sections for this research project.

2026-03-16
project-status
Desenvolvedores de software

Read and update docs/PROJECT_STATUS.md; schema and conventions for planning and recording outcomes.

2026-03-16
reproducibility-check
Bioquímicos e biofísicos

Apply the reproducibility checklist to assess whether experiments can be re-run reliably.

2026-03-16
research-workflow
Professores de engenharia, pós-secundário

Guides the project through its main research phases (setup, ideation, baseline, contribution, review) with lightweight, conversational checklists.

2026-03-16
review-revision
Coordenadores pedagógicos

Structured internal review and revision patterns focused on rigor, clarity, and reproducibility.

2026-03-16
section-editing
Cientistas biológicos, todos os outros

Small, reviewable LaTeX edits and rewrite patterns for paper sections.

2026-03-16
setup-checklist
Desenvolvedores de software

First-time template setup checklist: metadata, structure, environment.

2026-03-16
setup-dependencies
Desenvolvedores de software

Dependency and environment setup for this template (uv, LaTeX, cluster).

2026-03-16
setup-docs
Desenvolvedores de software

Create initial docs/README.md and meta docs for the project.

2026-03-16
chess-experiments Agent Skills no GitHub | SkillsMP