AGENT SKILLS · ミッション装備
実際に使われている Agent Skills
公開リポジトリの検証済み Skills を比較し、機能、内容、導入状況、出典を確認してから追加できます。
- 掲載範囲
- 検証済み
- Skills
- 23,248
- リポジトリ
- 3589
- 最終同期
- 2026/11/04
walrusquanteda-sports
Exploratory data analysis for user-provided sports data: grain, key integrity, coverage, missingness, entity balance, base rates, outliers, structural breaks, and leakage red flags. Use before feature engineering or model fitting.
- 1時間の導入数
- 1
- GitHub Stars
- 49
- 更新日
- 9月9日
walrusquantenvironment-setup
Create and verify a portable Python environment for sports analysis. Use for machine setup, onboarding, dependency diagnosis, or reproducibility checks.
- 1時間の導入数
- 1
- GitHub Stars
- 49
- 更新日
- 9月9日
walrusquantfeature-rules
Define, review, and document point-in-time legal sports-model features. Use when creating rolling form, rest, matchup, rating, roster, injury, or contextual predictors.
- 1時間の導入数
- 1
- GitHub Stars
- 49
- 更新日
- 9月9日
walrusquantmodel-card
Write a durable sports model card covering identity, intended use, target, decision time, data, features, baselines, validation, results, limits, maintenance, and kill conditions. Use when freezing or sharing a model.
- 1時間の導入数
- 1
- GitHub Stars
- 49
- 更新日
- 9月9日
walrusquantnflreadpy
Load NFL schedules, play-by-play, rosters, and player or team statistics directly from nflverse with nflreadpy. Use for NFL acquisition, schema review, bounded snapshots, and preparing user-owned analysis artifacts.
- 1時間の導入数
- 1
- GitHub Stars
- 49
- 更新日
- 9月9日
walrusquantpredictive-modeling
Build and evaluate predictive sports models from user-provided modeling data. Use for binary outcome models, feature/model selection, chronological backtests, probability scoring, and comparison to baselines.
- 1時間の導入数
- 1
- GitHub Stars
- 49
- 更新日
- 9月9日
walrusquantpybaseball
Load MLB Statcast, batting, pitching, standings, and player lookup data directly with pybaseball. Use for bounded pitch-level pulls, season tables, schema checks, and user-owned baseball data artifacts.
- 1時間の導入数
- 1
- GitHub Stars
- 49
- 更新日
- 9月9日
walrusquantresults-reporting
Report sports analysis and modeling results with the question, data, methods, validation, baselines, metrics, interpretation, limits, figures, and reproduction pointers. Use for research notes, reports, and final answers.
- 1時間の導入数
- 1
- GitHub Stars
- 49
- 更新日
- 9月9日
walrusquantsimulation-sports
Simulate game and season outcomes from user-supplied probabilities or ratings, summarize uncertainty, and test sensitivity to assumptions. Use for standings, win totals, matchup distributions, and scenario analysis.
- 1時間の導入数
- 1
- GitHub Stars
- 49
- 更新日
- 9月9日
walrusquantsports-modeling-doctrine
Define a sports analysis or prediction question, grain, decision time, baselines, primary metrics, validation, and acceptance criteria before choosing algorithms. Use at the start of any sports modeling project.
- 1時間の導入数
- 1
- GitHub Stars
- 49
- 更新日
- 9月9日
walrusquantsports-visualization
Create honest sports-analysis figures from user-owned data, including distributions, rates, rating trajectories, calibration plots, and walk-forward metric comparisons. Use for exploration and communication.
- 1時間の導入数
- 1
- GitHub Stars
- 49
- 更新日
- 9月9日
walrusquanttime-series-sports
Engineer and compare time-safe sports form features. Use for rolling windows, EWMA, rest, schedule gaps, early-season handling, and chronological evaluation.
- 1時間の導入数
- 1
- GitHub Stars
- 49
- 更新日
- 9月9日
forjdbetter-writing
Rewrite, draft, and review prose so it is clear, specific, human, and fits its context. Use when improving emails, reports, documentation, marketing copy, UI text, or posts that sound generic, AI-written, verbose, salesy, or formulaic. Covers voice calibration, anti-slop audits, and preflight checks.
- 1時間の導入数
- 1
- GitHub Stars
- 34
- 更新日
- 9月12日
the-focus-ainano-banana-videogen
Generate videos using Google Veo models via the nano-banana CLI. Use this skill when the user asks to create, generate, animate, or produce videos with AI. Supports text-to-video, image-to-video animation, dialogue with lip-sync, and scene extensions. Trigger on requests like "create a video", "animate this image", "make a video clip", "generate footage", "produce a short film", "add motion to this".
- 1時間の導入数
- 1
- GitHub Stars
- 20
- 更新日
- 7月7日
ckorhonensecurity-threat-model
Repository-grounded threat modeling that enumerates trust boundaries, assets, attacker capabilities, abuse paths, and mitigations, then writes a concise actionable Markdown threat model. Trigger only when the user explicitly asks to threat model a codebase or path, enumerate threats/abuse paths, or perform AppSec threat modeling. Covers STRIDE, PASTA, and attacker-goal-based methodologies, with modern considerations for AI/ML systems, cloud-native deployments, and supply chain threats.
- 1時間の導入数
- 1
- GitHub Stars
- 16
- 更新日
- 7月5日
southleftanalyze-component-set-figma
Analyze a Figma COMPONENTSET as a state machine for code generation — extract variant axes (state/size/etc.), map state variants to CSS pseudo-classes (hover→:hover, focus→:focus-visible, disabled→:disabled, error→[aria-invalid]), and compute per-variant visual diffs (only what changes per state). Use when generating an interactive component from a Figma variant set — triggers: 'analyze this component set', 'turn these variants into CSS states', 'generate a button/input/checkbox from Figma varia
- 1時間の導入数
- 1
- GitHub Stars
- 14
- 更新日
- 6月1日
southleftannotations-figma
Read and write designer annotations on Figma nodes — node-level design specs that pin properties (fills, width, fontSize, etc.) and carry plain or markdown notes. Use when the user wants to document or inspect interaction specs, animation timings, easing, accessibility requirements, or implementation notes attached directly to a node. Triggers: 'add an annotation', 'annotate this node/component', 'read the annotations on…', 'what specs are pinned to this element', 'list annotation categories', '
- 1時間の導入数
- 1
- GitHub Stars
- 14
- 更新日
- 6月1日
southleftaudit-accessibility-figma
Deep accessibility scorecard for a single Figma component or component set — state coverage (default/hover/focus/disabled/error/active/loading), focus-indicator quality and contrast, non-color state differentiation, target size, annotation completeness, and color-blind simulation (protanopia/deuteranopia/tritanopia), all rolled into per-category 0–100 scores and prioritized recommendations. Use when the user wants to vet ONE component before shipping it: triggers 'audit this component', 'accessi
- 1時間の導入数
- 1
- GitHub Stars
- 14
- 更新日
- 6月1日
southleftcheck-design-parity-figma
Compare a Figma node's actual specs against a code spec (the values your component renders) and get a 0–100 parity score, a list of discrepancies, and fix suggestions. Use to detect design-to-code DRIFT: triggers 'check design parity', 'does my code match the Figma', 'compare this component to the design', 'is my implementation faithful', 'find differences between design and code', 'verify the build matches Figma', 'design QA against code', 'parity score'. Reads the node's visual / typography /
- 1時間の導入数
- 1
- GitHub Stars
- 14
- 更新日
- 6月1日
southleftcomponent-properties-figma
Add, edit, and delete Figma component properties (TEXT, BOOLEAN, INSTANCESWAP, VARIANT) on a COMPONENT or COMPONENTSET, and instantiate a component then set its instance properties. Use when authoring or wiring up a component's API in Figma — triggers: 'add a component property', 'add a boolean prop to this component', 'make this text a component property', 'add an instance-swap slot', 'create a variant property', 'rename/delete a component property', 'place an instance of this component', 'inst
- 1時間の導入数
- 1
- GitHub Stars
- 14
- 更新日
- 6月1日
southleftcreate-figjam-content
Author FigJam boards with granular control — sticky notes (single + batch), connectors between nodes, shapes-with-text, sections, tables, code blocks, and auto-arrange — plus read back board contents and the connection graph. Use when the user wants to build or edit a FigJam board element-by-element. Triggers: 'add stickies to FigJam', 'create a flowchart/diagram in FigJam', 'connect these nodes', 'make a section/table/code block in FigJam', 'auto-arrange the board', 'read what's on the FigJam b
- 1時間の導入数
- 1
- GitHub Stars
- 14
- 更新日
- 6月1日
southleftdesign-system-inventory-figma
One call to inventory an entire Figma design system — variables/tokens (grouped by collection + mode), components and component sets (with property definitions and per-variant visual specs), and styles (color/text/effect with resolved values). Use when you need the whole design-system picture before generating code or auditing coverage — triggers: 'inventory my design system', 'extract all tokens and components', 'what's in this design system', 'dump the design system kit', 'give me every variab
- 1時間の導入数
- 1
- GitHub Stars
- 14
- 更新日
- 6月1日
southleftexport-tokens-figma
Export Figma variables to design token files in DTCG, CSS custom properties, Tailwind v4/v3, SCSS, TypeScript, JSON, Style Dictionary, or Tokens Studio. Use when the user wants to pull design tokens OUT of Figma into code — triggers: 'export tokens', 'export Figma variables', 'generate CSS variables from Figma', 'turn my Figma variables into a tokens.json / Tailwind config / SCSS', 'sync design tokens to code'. Works on ANY Figma plan (reads via the Plugin API, not the Enterprise-only Variables
- 1時間の導入数
- 1
- GitHub Stars
- 14
- 更新日
- 6月1日
southleftgenerate-component-doc-figma
Generate complete Markdown documentation for a Figma component — anatomy/layer tree, design tokens (colors, spacing, typography), states/variants matrix, accessibility notes, content guidelines, and optional code-parity + YAML frontmatter. Use when the user wants a docs page or handoff spec for a component or component set. Triggers: 'document this component', 'generate component docs/spec', 'create a docs page for the Button', 'write up the anatomy and variants', 'component handoff doc from Fig
- 1時間の導入数
- 1
- GitHub Stars
- 14
- 更新日
- 6月1日