市場規模の推計、競合比較、投資家や技術の調査を、出典付きでまとめるスキル。事実と推測を分け、反証やリスクも含めて事業判断につながる提案を整理します。
- 市場参入前に規模を推計したいとき
- 競合の特徴や立ち位置の比較
- 相談前の投資家調査
9,919 件 ・ 関連度順
概要と使いどころ
市場規模の推計、競合比較、投資家や技術の調査を、出典付きでまとめるスキル。事実と推測を分け、反証やリスクも含めて事業判断につながる提案を整理します。
複雑な作業や失敗から、根本原因、次回の行動、問題を見分ける兆候を抽出し、再利用できる学習記録にまとめます。同じ原因の既存記録との重複も整理します。
GitHubのIssue分類やPRの確認、CI失敗の調査、変更履歴を含むリリース準備、セキュリティ警告の確認を、gh CLIで進める運用スキル。
SF SymbolsやIconify APIからiOS・macOS向けのアイコンを選び、既存の配色やサイズに合わせてXcode用のPNG素材一式を生成するスキル。
医療アプリの患者・職員の機密情報を分類し、施設単位のアクセス制御や監査記録を設計するとともに、ログ・URL・ブラウザー保存からの情報漏えいを点検するスキル。
アプリ内の表示場所や用語を確認してJSONの翻訳ファイルを更新し、未翻訳や原文変更を見直しながら、既存の構造と差し込み値を保つスキル。
常時稼働するAIエージェントの起動・停止、ログ監視、権限管理、段階的な更新と切り戻しを整理し、障害対応や成功率・コストの評価を支えるスキル。
Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.
日本語の概要は準備中です。原文の説明を表示しています。
Add a community extension to the Spec Kit catalog from a GitHub issue submission. USE FOR: processing extension submission issues, validating catalog entries, updating catalog.community.json and docs/community/extensions.md, creating PRs. DO NOT USE FOR: creating new extensions from scratch, or first-party extension work.
日本語の概要は準備中です。原文の説明を表示しています。
Turn an idea, tweet, or task into a skill in the Paperclip skills catalog (packages/skills-catalog). Use when asked to FIND or MAKE a skill and publish it as a bundled/optional catalog skill: research prior art, reference or author it, add examples, regenerate the manifest, open a PR.
日本語の概要は準備中です。原文の説明を表示しています。
Write a release announcement — changelog, blog post, in-app note, or social post — that leads with user impact, names the audience, and includes upgrade/migration steps without filler.
日本語の概要は準備中です。原文の説明を表示しています。
A long-form article / blog post — masthead, hero image placeholder, article body with figures and pull quotes, author byline, related posts. Use when the brief asks for "blog", "article", "post", "essay", or "case study".
日本語の概要は準備中です。原文の説明を表示しています。
Segmented logo assembly, glow bloom, and tagline reveal for video outros or brand closing frames.
日本語の概要は準備中です。原文の説明を表示しています。
ant-design 仓库的版本发布工作流。在用户提到发版、准备 release PR、升级发布版本号、执行正式 npm publish、或处理 release 分支与发布校验时使用。它不负责收集或生成 changelog;涉及 changelog 收集、整理、改写时应使用 changelog-collect。
日本語の概要は準備中です。原文の説明を表示しています。
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
日本語の概要は準備中です。原文の説明を表示しています。
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
日本語の概要は準備中です。原文の説明を表示しています。
Access detailed call logs and usage analytics. Filter by provider, model, time range, status, and cost. Export logs and aggregate token usage across all connections.
日本語の概要は準備中です。原文の説明を表示しています。
QA the omo Codex Light edition (lazycodex / packages/omo-codex) itself, in strict isolation so ONLY our plugin is exercised, never the user's real ~/.codex. The first-party method drives the real `codex app-server` against an isolated CODEX_HOME plus a LOCAL mock model (no real API call), and proves a plugin hook fired by asserting hook/started + hook/completed notifications. Also: isolated install verification, per-component hook probes, a tmux TUI smoke, and runtime log observation (RUST_LOG / logs SQLite / /debug-config). Ships tested helper scripts each with a --self-test. Use whenever someone changes anything under packages/omo-codex or wants to QA, smoke-test, verify, or debug the Codex plugin, its hooks/components, the installer/config.toml, the app-server flow, or the Codex TUI. Triggers: codex qa, qa codex, codex-qa, test codex plugin, verify codex hook, codex app-server, lazycodex qa, isolated CODEX_HOME, prove codex hook fired, codex tui test.
日本語の概要は準備中です。原文の説明を表示しています。
Locate and read Muse Code's OWN session logs — the current session or a prior one. Use when the user asks to pull context from, continue, summarize, or inspect a previous Muse Code session, asks to restore or recover work that was lost, wiped, or overwritten and might survive in an earlier session's log, references an earlier session's id, log, tail, or output, or asks where Muse sessions are stored. Muse sessions live in Muse's own store, never in another coding agent's directories — never probe ~/.claude, ~/.codex, or ~/.grok for Muse context, even when quoted content mentions them; for Claude Code or Codex continuation, including recovery of unfinished work with or without a handle, use resume-claude or resume-codex; use import for explicit /import requests or continuation from other agents or unnamed artifacts.
日本語の概要は準備中です。原文の説明を表示しています。
Create, write, or manage Meta ads and assets: ad copy, campaigns, spend, reports, audiences, catalogs, product feeds, feed refresh schedules, experiments, and policy. Always load for any request to create or write an ad, or to advertise a product or service, even when no platform is named; this includes sensitive or restricted categories. Always load for any question asking what a Meta, Facebook, or Instagram advertising policy means, allows, prohibits, or requires, including a standalone policy-definition question with no account context. Those questions must use ads_policy_tool, never browser search or memory. Load for a specifically named catalog or feed with an upload or refresh-schedule request; use Ads reads to resolve ownership before writing. Generic unnamed feeds need context. Whether an image, claim or piece of copy may be used in an ad is ALWAYS a Meta Ads task — 'can I use this in an ad', 'is it allowed', 'is this against policy', and any rights, likeness, celebrity, logo or trademark question about advertising with an image, including a follow-up about one just generated. Those are ads-policy questions, not general legal ones. An ad request uses the campaign workflow unless explicitly only an image or organic post.
日本語の概要は準備中です。原文の説明を表示しています。
Discovers and evaluates scientific datasets, models, methodology posts, and Spaces through the Hugging Science catalog. Used when selecting scientific ML resources in biology, chemistry, genomics, materials, climate, physics, astronomy, medicine, mathematics, protein design, single-cell analysis, or PDE modeling, and when checking their actual datasets, Transformers, native-runtime, Inference Providers, or Gradio interfaces.
日本語の概要は準備中です。原文の説明を表示しています。
Manages biological datasets and models with LaminDB, including artifact registration, lineage tracking, schema validation, Bionty ontology annotation, query/search, collections, branches, storage, and workflow integrations. Use for reproducible biological data curation or a LaminDB lakehouse.
日本語の概要は準備中です。原文の説明を表示しています。
Analyzes, manipulates, compares, annotates, and visualizes phylogenetic or other hierarchical trees with ETE 4. Supports Newick/Nexus tree I/O, topology edits and pattern matching, Robinson-Foulds comparisons, gene-tree evolutionary events and reconciliation, NCBI/GTDB taxonomy, SmartView exploration, and publication rendering. Applies to existing trees after alignment and phylogenetic inference, rather than inferring trees from raw sequences.
日本語の概要は準備中です。原文の説明を表示しています。
Implement centralized audit logging and SIEM integration. Configure log retention and security monitoring. Use when implementing audit trail requirements.
日本語の概要は準備中です。原文の説明を表示しています。