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Found 44 Skills
Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.
Merge diagnostic states accumulated from multiple dbs-save operations into a deliverable markdown report. Triggers: /dbs-report, /generate-report, "package this up", "compile a report", "for partners" Generate a deliverable diagnosis report by merging all dbs-save snapshots. Trigger: /dbs-report, "package this up", "make me a report"
Maintain `*-skills` README standards and checklist-style roadmap docs through one canonical maintenance entrypoint. Use when a repo needs profile-aware README maintenance, checklist roadmap validation or migration, or a bounded audit-first doc workflow with Markdown and JSON reporting.
Gitコミットを日付ごとに集計してMarkdownテーブルで出力するスキル。 機能: (1) 指定日のコミット一覧取得 (2) worktree含む全ブランチ対応 (3) PR番号の自動取得 (4) JST時刻でのテーブル出力
Generate a comprehensive Markdown security audit report with executive summary, findings, and remediation guidance.
Performs security-focused differential review of code changes (PRs, commits, diffs). Adapts analysis depth to codebase size, uses git history for context, calculates blast radius, checks test coverage, and generates comprehensive markdown reports. Automatically detects and prevents security regressions.
Generates a human-readable security review packet compiled from confirmed findings and exploit chains. Use at the end of a review cycle to produce stakeholder-facing documentation. Don't use for auditing code or verifying patches directly.
Use this skill when you need to verify cross-file data/asset consistency in a content-driven site — not "does it render?" (that's `web-visual-verification`) but "do the data, files, and references all line up?". Triggers on phrases like "盤點內容", "稽核資產", "對照 course-data 跟 markdown", "找缺圖", "task ID 有沒有重複", "quiz 編號 vs 硬編碼總數", "audit", "content audit", "content drift", "asset coverage", "three-way sync check", "cross-file consistency", "find missing illustrations", "資料一致性檢查", "找出該補插圖的地方", or any moment when the user senses divergence between source files and deployed data. Output is a human-readable markdown report, not a pass/fail. Pair with `web-visual-verification` for full pre-release coverage.
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.
Turn a completed experiment iteration into an honest, evidence-backed analysis — a markdown report and a portable data dump. Pulls run data via the tpc CLI, scores each task, clusters friction by root cause (with a transcript example per claim), compares arms, and closes on agent-readiness gaps. The natural companion to setup-experiment: setup → run → analyze. Trigger when users say: "analyze my experiment", "write the report", "experiment report", "analyze the results", "summarize the runs", "what happened in this iteration", "friction report", or "report gen".
Generate professional markdown and HTML reports from data with charts, tables, and analysis.
This skill retrieves upcoming earnings announcements for US stocks using the Financial Modeling Prep (FMP) API. Use this when the user requests earnings calendar data, wants to know which companies are reporting earnings in the upcoming week, or needs a weekly earnings review. The skill focuses on mid-cap and above companies (over $2B market cap) that have significant market impact, organizing the data by date and timing in a clean markdown table format. Supports multiple environments (CLI, Desktop, Web) with flexible API key management.