Use when the user has a judge/grader and human-labeled data, and wants to measure how well the judge agrees with humans, detect systematic biases, determine whether automatic evaluation can replace human review, or build a human-reduction roadmap. Also use when the user mentions calibration, TPR/TNR, judge validation, inter-rater agreement, Cohen's kappa, bias detection, or "is my automatic evaluation trustworthy." Merges the calibrate and align functions into one skill.
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。
agentscope-ai/OpenJudge☆ 8742026年9月11日 更新
Systematic contract negotiation strategies for technology services agreements with German/EU law specificity. Provides three-position framework (provider-favorable, balanced, client-favorable), deal-size calibration (€100K to €10M+), five-tier objection handling with regulatory leverage (GDPR, DORA, NIS2, BGB), concession packaging, and position matrices for liability, IP, payment, SLA, data protection, and termination. Use when: (1) Developing negotiation strategies for SaaS, cloud, or managed services agreements, (2) Preparing position papers and fallback positions, (3) Responding to counterparty objections, (4) Structuring concession packages that protect core economics, (5) Calibrating tactics to deal size and leverage, or (6) Applying German contract law constraints (BGB §§ 305-310 AGB, § 309 Nr. 7 liability limits, § 288 statutory interest).
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。
lawve-ai/awesome-legal-skills☆ 8642026年10月3日 更新
Generates standalone interactive HTML "deal cards" that translate complex regulations into negotiation-ready reference tools, systematically distinguishing mandatory obligations from negotiable implementation choices. Use when the user needs an interactive regulatory guide for (1) contract negotiation support, (2) client education or internal training, (3) regulatory briefings for commercial stakeholders, or (4) structured comparison between required and flexible compliance paths. Primary focus on EU digital regulation (Data Act, AI Act, CRA, DORA, NIS2, GDPR) but the structural pattern transfers to any regulation where separating hard obligations from implementation choice is the point. Supports bilingual output where the jurisdiction calls for it.
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。
lawve-ai/awesome-legal-skills☆ 8642026年10月3日 更新
Adversarial verification of AI-generated legal content with systematic fact-checking, source validation, and quality control. Use when a user asks to verify, fact-check, red-team, validate sources, or quality-control a legal document, briefing, compliance summary, or regulatory analysis before it is distributed to clients, stakeholders, or published. Trigger phrases include "verify", "fact-check", "red team", "red-flag", "check accuracy", "validate sources", "quality control", "is this correct", and "review for errors". Produces a structured verification report with severity-categorized errors, verified sources, unsupported claim list, missing disclaimers, and an explicit distribution-readiness assessment.
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。
lawve-ai/awesome-legal-skills☆ 8642026年10月3日 更新
Assess whether Government of India approval is required for foreign investment in an Indian company under Foreign Exchange Management Act, 1999 and the Non-Debt Instruments Rules, 2019. The skill systematically gathers transaction details, evaluates sectoral entry routes and caps, assesses land border country restrictions under applicable laws, and delivers a preliminary compliance note. Produces clear guidance on whether the investment falls within Automatic Route or requires Government approval.
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。
lawve-ai/awesome-legal-skills☆ 8642026年10月3日 更新
A jurisdiction-grounding reference file for AI assistants working on Gibraltar legal, regulatory, and compliance research. Corrects systematic errors AI models make when applying English law to Gibraltar — a distinct jurisdiction under the Gibraltar Constitution Order 2006, with its own court hierarchy, civil procedure rules, employment law, and regulatory framework. Covers the source hierarchy, court structure, civil procedure divergences (14-day deemed service, post-Jackson reforms not adopted), employment law specifics (uncapped discrimination awards, 5-employee redundancy threshold), FSC financial services regulation, AML/KYC compliance sources, Gibraltar Companies Act 2014 with UBO public register, and a structured directory of official public record sources. Includes research profiles for lawyers, compliance professionals, and due diligence practitioners. Not legal advice.
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。
lawve-ai/awesome-legal-skills☆ 8642026年10月3日 更新
Structured debugging methodology — use before proposing fixes for any error or failure. Covers: code bugs, build errors, deploy failures, config conflicts, dependency issues, infra problems. Also use when previous fix attempts failed or root cause is unclear.
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。
sangrokjung/claude-forge☆ 8552026年9月3日 更新
Apply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating security documentation.
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。
sangrokjung/claude-forge☆ 8552026年9月3日 更新
Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.
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。
sangrokjung/claude-forge☆ 8552026年9月3日 更新
Design a mastery experience sequence that systematically builds student confidence in a skill they avoid. Use when students say 'I can't do this', avoid tasks, or show learned helplessness.
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。
GarethManning/education-agent-skills☆ 8522026年8月29日 更新
Design a checking-for-understanding protocol with specific techniques for each lesson stage. Use when planning systematic comprehension checks during explicit or direct instruction.
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。
GarethManning/education-agent-skills☆ 8522026年8月29日 更新
Systematic stock screening and investment idea sourcing for A-share markets. Combines quantitative screens, thematic research, and pattern recognition to surface new long and short ideas. Adapted from the original idea-generation skill for Chinese market conventions and data sources. Triggers on "A股选股", "股票筛选", "寻找机会", "stock screen China", "A-share ideas", "find ideas for Chinese stocks", or "screen for A-share opportunities".
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。
jwangkun/claude-for-financial-services-cn☆ 8342026年9月14日 更新
When the user wants to edit, review, or improve existing marketing copy. Also use when the user mentions 'edit this copy,' 'review my copy,' 'copy feedback,' 'proofread,' 'polish this,' 'make this better,' or 'copy sweep.' This skill provides a systematic approach to editing marketing copy through multiple focused passes.
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。
AvdLee/RocketSimApp☆ 8052026年10月13日 更新
cogeqc aims to facilitate systematic quality checks on standard comparative genomics analyses to help researchers detect issues and select the most suitable parameters for each data set. cogeqc can be used to asses: i. genome assembly and annotation quality with BUSCOs and comparisons of statistics with publicly available genomes on the NCBI; ii. orthogroup inference using a protein domain-based approach and; iii. synteny detection using synteny network properties. There are also data visualizat
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。
bioMate-AI/biomate-bioconductor-kb☆ 7962026年6月21日 更新
Systematic 3D interaction calls and differential analysis for Hi-C and HiChIP. The HiC-DC+ (Hi-C/HiChIP direct caller plus) package enables principled statistical analysis of Hi-C and HiChIP data sets – including calling significant interactions within a single experiment and performing differential analysis between conditions given replicate experiments – to facilitate global integrative studies. HiC-DC+ estimates significant interactions in a Hi-C or HiChIP experiment directly from the raw con
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。
bioMate-AI/biomate-bioconductor-kb☆ 7962026年6月21日 更新
Systematically remove one harness component at a time and measure impact, killing scaffolding that no longer earns its complexity.
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。
Archive228/loopkit☆ 7542026年7月15日 更新
Use for ANY bug, test failure, crash, or unexpected behavior. Forces reproduce-then-isolate before proposing a fix. Stops the agent from guessing.
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。
Archive228/loopkit☆ 7542026年7月15日 更新
Four-phase debugging framework that ensures root cause investigation before attempting fixes. Never jump to solutions.
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。
obra/superpowers-skills☆ 7512025年10月15日 更新
Systematically trace bugs backward through call stack to find original trigger
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。
obra/superpowers-skills☆ 7512025年10月15日 更新
Systematic code review for Java with null safety, exception handling, concurrency, and performance checks. Use when user says "review code", "check this PR", "code review", or before merging changes.
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。
decebals/claude-code-java☆ 7502026年9月7日 更新
Audit and tend to existing travel reservations. Reads a user-provided reservations file, then systematically checks every booking for price drops, better cabin availability, improved routings, schedule changes, nearby airport alternatives, and award repricing opportunities. Invoke proactively on a regular cadence or when the user says "garden", "check my bookings", "audit reservations", "price drop", "better routing", "did my flight change", "tend reservations", "reservation maintenance", or "check my trips".
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。
borski/travel-hacking-toolkit☆ 6932026年10月12日 更新
Process and implement code review feedback systematically. Use when user provides reviewer comments, PR feedback, code review notes, or asks to implement suggestions from reviews.
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。
mhattingpete/claude-skills-marketplace☆ 6822026年7月25日 更新
Run tests and systematically fix all failing tests using smart error grouping. Use when user asks to fix failing tests, mentions test failures, runs test suite and failures occur, or requests to make tests pass.
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。
mhattingpete/claude-skills-marketplace☆ 6822026年7月25日 更新
Applies the Refactoring Priority Premise (RPP) levels L1-L6 for systematic code refactoring. Use when improving code quality through structured refactoring passes.
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。
nWave-ai/nWave☆ 6172026年9月16日 更新