15 skills found
Zipstack / unstractLLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
Dicotomico23 / HIF_NetworkAnomalyDetectionResearch project based on the Hybrid Isolation Forest approach by Pierre-François Marteau for developing Intrusion Detection Systems (IDS) on networks.
ostikwhy-blip / handoffUse when ending or pausing a Claude Code session whose work must continue in a fresh session — user says "create a handoff", "write a handoff", "I'm ending this session", "prepare for a fresh session", "hand this off", or "/handoff" — or when starting a session in a project that already contains a H…
julilaoshi / takeaway-skillTakeaway Skill / 拿来主义 Skill: distill references into reusable mechanisms, adaptation routes, pattern cards, and implementation briefs without copying surface style.
benjam3n / deExtract dependencies between steps, tasks, or items. Identifies what must happen before what, enabling proper sequencing. Read and execute `/home/ben/Documents/projects/reasoningtool/claude-code-plugin/skills/de/SKILL.md`, applying it to this input: $ARGUMENTS
gearm123 / viewport-ui-splitBrowser vs phone UI split — edit separate Browser/Phone files; owner works on browser
ThisIsLittleSky / WaterPaper水论文skill一句话出论文：多角度选题、真实文献采集、大纲写作、降低AIGC率、降低重复率、绘制图表、DOCX交付
breaking-brake / cc-wf-studioCC Workflow Studio
semaj90 / 05-output-boundarylegal ai contextual chat
Nlkomaru / 00_basicユーザーはClaudeよりプログラミングが得意ですが、時短のためにClaudeにコーディングを依頼しています。 2回以上連続でテストを失敗した時は、現在の状況を整理して、一緒に解決方法を考えます。 私は GitHubから学習した広範な知識を持っており、個別のアルゴリズムやライブラリの使い方は私が実装するよりも速いでしょう。ユーザーに説明しながらコードを書きます。
noriaki / 02_gitこのドキュメントでは、開発サイクルとしてのブランチ管理の方法と、コミットとプルリクエストの作成に関するベストプラクティスを説明します。 開発サイクルとして GitHub Flow を採用します。main ブランチにマージ済みの feature ブランチはローカルとリモートの両方とも削除します。
heytdep / formal-spec-extract-propertiesExtract properties from a formal spec (TLA+/Lean/ProVerif) into AutoSpec's structured format. Classifies each property with id, statement, essence, and type. Works on formal-spec output or any existing formal spec.
daseinpbc / SPL-FRAMEWORKSUBSUMPTION PATTERN LEARNING (SPL) MULTI-AGENT FRAMEWORK: Hierarchical foundation model agent architecture that reduces costs by 10-50x through intelligent suppression of expensive foundation model calls. Grounded in R. Arkin's behavior-based robotics and R.
Asenay-Tech / git-autonomyAI bookkeeping engine that automates 98–100% of financial tasks—uploads, OCR, categorization, fraud checks, forecasting, and reporting. Designed for companies in logistics, retail, restaurants, warehouses, and enterprise workflows.
tody-agent / cm-clean-codeCode hygiene gate — detect and eliminate dead code, duplicates, naming mess, and code smells. TRIZ-powered. Run after features, before PRs, during debt sprints.
