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sundial-org AI Skills

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Explorez les skills IA publiés de sundial-org et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

20

Étoiles des dépôts des skills indexés

5,882

Forks du dépôt

586

Moyenne des étoiles par skill indexé

294

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

20 skills

Explorer

GitHub

github-pr

sundial-org

Fetch, preview, merge, and test GitHub PRs locally. Great for trying upstream PRs before they're merged.

GitHub

landing-gen

sundial-org

Generate a beautiful HTML landing page from your package.json. Use when you need a quick marketing page for your project.

GitHub

codexmonitor

sundial-org

List/inspect/watch local OpenAI Codex sessions (CLI + VS Code) using the CodexMonitor Homebrew formula.

GitHub

demo-video

sundial-org

Create product demo videos by automating browser interactions and capturing frames. Use when the user wants to record a demo, walkthrough, product showcase, or interactive video of a web application. Supports P...

GitHub

mcporter-skill

sundial-org

Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.

GitHub

nest-devices

sundial-org

Control Nest smart home devices (thermostat, cameras, doorbell) via the Device Access API. Use when asked to check or adjust home temperature, view camera feeds, check who's at the door, monitor rooms, or set u...

GitHub

pi-admin

sundial-org

Raspberry Pi system administration. Monitor resources, manage services, perform updates and maintenance.

GitHub

cli-developer

sundial-org

Use when building CLI tools, implementing argument parsing, or adding interactive prompts. Invoke for CLI design, argument parsing, interactive prompts, progress indicators, shell completions.

GitHub

frontend-design-2

sundial-org

Expert frontend design guidelines for creating beautiful, modern UIs. Use when building landing pages, dashboards, or any user interface.

GitHub

database

sundial-org

Database management and queries. Connect to SQL and NoSQL databases, run queries, and manage schemas.

GitHub

remotion-server

sundial-org

Headless video rendering with Remotion. Works on any Linux server - no Mac or GUI needed. Templates for chat demos, promos, and more.

GitHub

project-referee

sundial-org

Critiques ML conference papers with reviewer-style feedback. Use when users want to anticipate reviewer concerns, identify weaknesses, check claim-evidence gaps, or find missing citations.

GitHub

neuro-symbolic-reasoning

sundial-org

Neuro-symbolic AI combining LLMs with symbolic solvers. Use when implementing NL-to-logic translation, integrating Z3/Prover9/Pyke solvers, building self-refinement loops, or solving logical reasoning tasks.

GitHub

tinker-training-cost

sundial-org

Calculate training costs for Tinker fine-tuning jobs. Use when estimating costs for Tinker LLM training, counting tokens in datasets, or comparing Tinker model training prices. Tokenizes datasets using the corr...

GitHub

icml-reviewer

sundial-org

Paper reviewer that evaluates machine learning research projects following official ICML reviewer guidelines. Provides comprehensive reviews with actionable feedback across all key dimensions: claims/evidence,...

GitHub

commit-splitter

sundial-org

Split large sets of uncommitted changes into logical, well-organized commits. Use when the user has many uncommitted changes and wants structured commits, or proactively suggest when detecting a large diff that...

GitHub

tinker-training-cost

sundial-org

Calculate training costs for Tinker fine-tuning jobs. Use when estimating costs for Tinker LLM training, counting tokens in datasets, or comparing Tinker model training prices. Tokenizes datasets using the corr...

GitHub

tinker

sundial-org

Fine-tune LLMs using the Tinker API. Covers supervised fine-tuning, reinforcement learning, LoRA training, vision-language models, and both high-level Cookbook patterns and low-level API usage.

GitHub

training-data-curation

sundial-org

Guidelines for creating high-quality datasets for LLM post-training (SFT/DPO/RLHF). Use when preparing data for fine-tuning, evaluating data quality, or designing data collection strategies.

GitHub

codex

sundial-org

Run OpenAI's Codex CLI agent in non-interactive mode using `codex exec`. Use when delegating coding tasks to Codex, running Codex in scripts/automation, or when needing a second agent to work on a task in paral...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.