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cccskills

「pact」の検索結果

1,174 件 ・ 関連度順

概要と使いどころ

Use when targeting Environmental Pollution or deciding whether a contamination/pollutant-impact manuscript fits this venue. Encodes the journal's fit, the source-fate-impact evidence bar, measurement-and-controls expectations, house style, official-submission re-check, and desk-reject heuristics.

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。

brycewang-stanford/Awesome-Journal-Skills1,2512026年9月27日 更新

Use when articulating why an Agricultural Systems (AgSy) result matters — its relevance for farm design, management, decision support, or policy. AgSy values systems analysis that informs a decision, so this is what separates an AgSy paper from a methods demo. It frames implications honestly within the model's scope; it does not over-claim or invent impact.

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。

brycewang-stanford/Awesome-Journal-Skills1,2512026年9月27日 更新

Use when drafting the cover letter for an Advanced Materials submission, whose core job is to convince the editor that the work is a genuine materials advance of broad impact worthy of the journal. Argues the impact case; does not fix the science or format the manuscript.

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。

brycewang-stanford/Awesome-Journal-Skills1,2512026年9月27日 更新

Debug a specific session by inspecting its full event chain (PreToolUse, PostToolUse, Stop, SubagentStop, Compaction, APIError, TurnDuration, Notification events), agent hierarchy (recursive parent/child tree with subagent_type and depth), token usage with compaction baselines, workflow intelligence data (orchestration DAG, error propagation by depth), and session metadata (thinking_blocks, turn_count, total_turn_duration_ms).

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。

hoangsonww/Claude-Code-Agent-Monitor1,0722026年10月12日 更新

Generate a comprehensive session report with per-model token usage (input, output, cache_read, cache_write including compaction baselines), cost breakdown via the pricing engine, tool invocations, agent hierarchy, compaction events, API errors, turn durations, and thinking block counts. Use when reviewing a specific session or summarizing activity over a date range.

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。

hoangsonww/Claude-Code-Agent-Monitor1,0722026年10月12日 更新

Build dependency network and critical path from a matter plan. Produce an interactive Gantt, flag near-critical tasks, and run what-if cascade scenarios when delays occur — showing programme impact and drafting communications. Produces filtered workstream or jurisdiction views for local counsel. Trigger on: 'build a timeline', 'Gantt chart', 'critical path', 'what if X is delayed', 'what moves if', 'schedule impact', 'how does this affect the programme', 'when do we finish', 'can we still close on time', 'if we miss this deadline', 'run a what-if', 'visualise the plan', 'Germany timeline', 'what does the Employment workstream look like', 'timeline for local counsel', 'just show me the [workstream] tasks'.

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-skills8642026年10月3日 更新

GDPR Transfer Impact Assessment for Chapter V transfers under the EDPB Recommendations 01/2020 six-step methodology, the CNIL TIA Guide (January 2025), and EDPB essential guarantees. Handles transfer qualification, Art. 45 adequacy fast-tracks, Art. 46 full assessments with country profiles for 12 jurisdictions, and balanced Art. 49 derogation analysis. Outputs a Markdown report, a .docx formal TIA, and a JSON delta for RoPA interchange.

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-skills8642026年10月3日 更新

GDPR Data Protection Impact Assessment (DPIA) guidance under Article 35 GDPR, EDPB Guidelines WP 248 rev.01, EDPB Opinion 28/2024 (AI), and national SA blacklists/whitelists. Triggers: "DPIA", "DSFA", "Datenschutz-Folgenabschätzung", "impact assessment", "Art. 35", "do I need a DPIA", descriptions of new high-risk processing (profiling, AI, biometrics, large-scale monitoring, special category data), Art. 36 prior consultation questions, national blacklist/whitelist queries.

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-skills8642026年10月3日 更新

Expert knowledge for Azure Carbon Optimization development including troubleshooting, security, and integrations & coding patterns. Use when using Carbon Service REST API, Python exports, RBAC roles, emissions data quality, or dashboard issues, and other Azure Carbon Optimization related development tasks. Not for Azure Cost Management (use azure-cost-management), Azure Impact Reporting (use azure-impact-reporting), Azure Monitor (use azure-monitor), Azure Policy (use azure-policy).

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。

MicrosoftDocs/Agent-Skills7792026年10月11日 更新

Use when the user says m0 handoff, before I compact, end of session, save session state, resume where we left off, or continue in Cursor or Claude Code. Writes or reads a compact_checkpoint so a cold start becomes a continuation.

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。

coco-research/coco5902026年10月13日 更新

Archived DESIGN.md impact experiment compatibility gate. Use when an old Lab #01 run is requested, but do not generate new legacy 9/12-section documents; direct new experiments to the Core v2 benchmark track.

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。

kwakseongjae/oh-my-design5342026年10月13日 更新

tldr-cli

無料

TLDR CLI komut referansi. tree, structure, search, extract, context, cfg, dfg, slice, calls, impact, dead, arch, imports, importers, diagnostics, change-impact komutlari.

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。

vibeeval/vibecosystem5332026年8月9日 更新

Use when you need to analyze Java profiling data collected during the detection phase — including interpreting flamegraphs, memory allocation patterns, CPU hotspots, threading issues, systematic problem categorization, evidence documentation with profiling-problem-analysis and profiling-solutions markdown files, or prioritizing fixes using Impact/Effort scoring. This should trigger for requests such as Analyze JFR profile; Analyze the profile; Analyze the performance; Analyze the memory; Analyze the threading; Analyze GC logs from profiling; Prioritize Java profiling bottlenecks by impact. Part of Plinth Toolkit

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。

jabrena/plinth4482026年10月13日 更新

guard

無料

Protect Claude Code sessions from context overflow by running a background daemon that monitors session size and auto-prunes before compaction hits. Use when the user says "guard", "protect session", "context getting long", "prevent compaction", "session management", or is running agent teams that need continuous context protection.

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。

Ruya-AI/cozempic4252026年7月4日 更新

Analyze weather impact on construction schedule. Predict delays and adjust activities based on forecast.

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。

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction3492026年8月22日 更新

Analyze weather data impact on construction schedules. Predict weather delays, optimize work scheduling based on forecasts, and calculate weather-related risk factors for project planning.

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。

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction3492026年8月22日 更新

Analyzes code change impact with risk scoring and affected-node mapping. Use before merging to understand what a change touches and what lacks test coverage.

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。

athola/claude-night-market3412026年10月10日 更新

Guides the post-Schrems II Transfer Impact Assessment process following EDPB Recommendations 01/2020 six-step methodology. Covers assessment of third country legal frameworks, supplementary measures evaluation, and TIA scoring. Activate for international data transfers, SCCs, third-country adequacy, or Chapter V compliance. Keywords: TIA, Schrems II, transfer assessment, EDPB, supplementary measures, SCCs, international transfer.

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。

mukul975/Privacy-Data-Protection-Skills3032026年3月17日 更新

Links RoPA entries to Data Protection Impact Assessments and lawful basis assessments. Covers cross-reference systems, dependency tracking, and update cascade triggers between RoPA, DPIA register, and lawful basis documentation. Activate for RoPA-DPIA link, cross-reference, dependency tracking, impact assessment linkage, cascade updates.

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。

mukul975/Privacy-Data-Protection-Skills3032026年3月17日 更新

Conducts a Data Protection Impact Assessment for automated decision-making and profiling systems under GDPR Article 35(3)(a), covering algorithmic transparency, meaningful human oversight, contestation mechanisms, and Art. 22 safeguards. Activate for DPIA automated decision, profiling DPIA, algorithmic impact assessment, Art. 35(3)(a), ADM risk assessment queries.

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。

mukul975/Privacy-Data-Protection-Skills3032026年3月17日 更新

Guides the end-to-end GDPR Data Protection Impact Assessment process under Article 35, including mandatory trigger identification per Art. 35(3), DPIA content requirements per Art. 35(7), and EDPB WP248rev.01 methodology. Activate for systematic profiling, large-scale special category processing, or large-scale public monitoring. Keywords: DPIA, Article 35, impact assessment, WP248, data protection, risk 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。

mukul975/Privacy-Data-Protection-Skills3032026年3月17日 更新

Analyze China macroeconomic data, PBOC monetary policy, fiscal policy, and their impact on A-share and HK stock markets. Track GDP, CPI, PPI, PMI, social financing, and interpret policy signals. Use when user asks about 中国宏观经济, 央行政策, economic data impact on markets, or needs to understand policy implications for investment.

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。

nicepkg/ai-workflow2852026年1月20日 更新

imandalart

無料日本語概要

Create iMandalArt 2.2 pure-text 3x3 Mandala index cards with a five-character center axis, eight orthogonal surrounding angles labeled Ⓐ-Ⓗ, compact title cells such as Ⓐ健康復節, hard-line CJK layout, optional の字型 ordering, and 井字號 compass ordering. Use when the user asks for iMandalArt, iMandalart, I MandalArt, の字型, ◊字型, 井字號, 中國城市方位, 64+8+1, 手機方形曼陀羅, 正方形九宮索引卡, 五字定格, ◎中心, Ⓐ-Ⓗ 九宮卡, TheBrain/Cerebro preview-safe hard-line cards, or a square 3x3 card that is not a Markdown table, visible-border PE2 card, or 81-cell Mandala.

twhsi/skills2582026年7月22日 更新

Analyzes test suites and suggests optimal test execution order based on code change impact and project requirements. Use when optimizing CI/CD pipelines, deciding which tests to run before committing, or selecting critical tests under time constraints. Prioritizes tests by analyzing recently modified files, test dependencies, and coverage overlap. Outputs detailed rankings with priority scores and reasoning to help teams run the most impactful tests first.

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。

ArabelaTso/Skills-4-SE2532026年8月21日 更新