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cccskills

「map」の検索結果

4,239 件 ・ 関連度順

概要と使いどころ

主动渗透测试工具链。覆盖信息收集、端口扫描、漏洞扫描、Web 渗透、SQL 注入、目录爆破、密码破解等场景。 通过 MCP server(pentestMCP / mcp-security-hub)将 20+ 安全工具暴露给 AI agent。 触发关键词:渗透测试、端口扫描、Nmap、漏洞扫描、Nuclei、SQL 注入、SQLMap、目录爆破、FFUF、密码破解、Hashcat、信息收集、子域名、Web 渗透、ZAP、Burp。

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/coco7122026年10月17日 更新

gsd-scan

無料

Use when you need a quick read on one subsystem instead of a full /gsd-map-codebase run, or the user asks to scan tech, arch, quality, or concerns. Spawns one mapper agent and writes targeted docs into .planning/codebase/.

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/coco7122026年10月17日 更新

Use when onboarding to an unfamiliar codebase, before a major refactor, on a brownfield project before /gsd-new-project, or to refresh .planning/codebase/. Spawns up to 4 parallel mapper agents that write 7 documents.

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/coco7122026年10月17日 更新

Use when starting GSD in a repo that has no .planning/ yet, or the user wants a new project set up. Questioning, optional research, requirements, and roadmap produce .planning/PROJECT.md, REQUIREMENTS.md, ROADMAP.md, and STATE.md.

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/coco7122026年10月17日 更新

Use when the user asks to add a phase, feature, or scope to the end of the current milestone roadmap. Adds the next sequential phase directory, updates ROADMAP.md, and tracks the change in STATE.md.

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/coco7122026年10月17日 更新

Create HTML timelines and project roadmaps with Gantt charts, milestones, phase groupings, and progress indicators. Use when users request timelines, roadmaps, Gantt charts, project schedules, or milestone visualizations.

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-marketplace6842026年7月25日 更新

Discover and list a site's URLs, with search filtering. Use for "map the site" or "find the URL for" requests — when the user knows the site but not the exact page, or wants site structure.

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。

firecrawl/cli6552026年10月17日 更新

seecode

無料

Create animated, explorable editorial diagrams in 45 types (architecture, flowchart, sequence, state, ER, DB schema, UML class, swimlane, timeline, gantt, journey, tree, org chart, nested, venn, quadrant, fishbone, wardley, bar, line, scatter, sankey, treemap, heatmap, 3D isometric objects, floor plans and exploded views) as standalone HTML from a short JSON spec. Use when the user asks to draw, diagram, chart or visualize a system, codebase, flow, process, API call sequence, hierarchy, data or a physical object (a chair); to convert Mermaid, Graphviz/DOT, PlantUML, D2, draw.io, Excalidraw, SQL or CSV into a clean diagram; or to export a diagram as PNG, JPEG, SVG, GIF or MP4. Also for everyday plans: trips, moves, job hunts, approvals, budgets, where money goes.

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。

Aryanutkarsh/SeeCode6412026年10月17日 更新

Runs once by hand on the first day and once a month after that. On the first run it researches the business from its own public presence, writes the charter with a source and a date beside every conclusion, discovers the AI Employees actually installed on this machine within a bounded search, writes the map every other routine in this kit reads, seeds the priorities and the watchlist once, builds the fleet dashboard, and registers this Employee's own seven jobs. On every monthly run it re-runs discovery and reconciles the map against what is really there. It never writes into another Employee's folder, never registers a job it does not own, sends only where you released the channel, spends only where you released it, and never touches a credential.

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。

markfulton/ai-employees6302026年10月17日 更新

Deep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational autoencoder, VAE, batch correction, data integration, multi-modal, CITE-seq, multiome, reference mapping, latent space.

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。

anthropics/life-sciences6222026年8月15日 更新

Creates a phased roadmap.json for a feature goal with acceptance criteria and TDD steps. Use when planning implementation steps before execution.

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/nWave6202026年9月16日 更新

Use when a DELIVER roadmap already exists and you need to dispatch exactly one identified step through its TDD cycle. Use nw-roadmap to create the plan, nw-deliver for the whole wave, and nw-continue to resume at the next inferred step.

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/nWave6202026年9月16日 更新

Opportunity Solution Trees, opportunity scoring, Lean Canvas, JTBD job mapping, and technique selection guide

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/nWave6202026年9月16日 更新

Use when the user needs to understand customers deeply enough to write copy and pick targeting — consumer versus shopper, JTBD, layered persona, internal monologue, pain map, objection list, journey map, and a customer language bank pulled from real reviews and DMs. Trigger on 'customer insight', 'buyer persona', 'who is my customer', 'what do they actually want', 'jobs to be done', 'why do they hesitate before buying'. Also use when the user cannot explain who the product is for. Not for — intake questions when an agency signs a new client, see `20-client-intake-brief-global`; paid audience targeting setup, see `51-audience-research-global`; competitor study, see `08-competitor-research-global`.

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。

minhnv0807/ai-business-skills6192026年9月12日 更新

wayfinder

無料

Map a large, unclear, multi-session effort as linked decisions, then advance the map until the route to the destination is clear.

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。

stevesolun/ctx5882026年10月15日 更新

Maintains sparse, reviewable cybersecurity framework edges with versioned IDs, relation, rationale, source, and review status. Use when mapping exercise observations or procedures to NIST, ATT&CK, or another named framework.

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。

HoangNguyen0403/agent-skills-standard5772026年10月18日 更新

When the user wants an agent to run SEO for a product end to end on a daily schedule, with state kept in a seo/ folder in the repo. Covers site health checks, fact checks against commits, page 2 to page 1 pushes, AI answer tracking, competitor sitemap diffs, a monthly keyword map, articles, comparison pages, free tools and link drafts. Also use when the user mentions "seo autopilot" or asks for a daily SEO run.

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。

Illyism/seo-skills5252026年10月15日 更新

amap

無料

通过脚本直连高德 Web Service API 完成地理编码、逆地理编码、IP 定位、天气、路径规划、距离测量和 POI 查询。用户要求“高德/AMap 查询”“路线规划”“地理编码”“POI 搜索”或需要用命令行脚本调用高德 API 时使用。

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。

MagicCube/agentara5172026年5月11日 更新

Map paper notes + taxonomy into a signal table of tensions, missing pieces, and promising academic axes for brainstorm discussion. Writes `output/trace/IDEA_SIGNAL_TABLE.md`.

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。

WILLOSCAR/research-units-pipeline-skills5132026年10月5日 更新

Use `graphify-dotnet` to generate codebase knowledge graphs, architecture snapshots, and exportable repository maps from .NET or polyglot source trees, with optional AI-enriched semantic relationships. USE FOR: graphify commands; graph JSON, HTML, SVG, Cypher, Markdown, and Obsidian exports; repository map and architecture snapshot generation. DO NOT USE FOR: unrelated stacks; generic tasks that do not need this specific guidance. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.

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。

managedcode/dotnet-skills4892026年10月17日 更新

Use ManagedCode.MimeTypes when a .NET application needs consistent MIME type detection, extension mapping, and content-type decisions for uploads, downloads, or HTTP responses. USE FOR: integrating ManagedCode.MimeTypes into upload or download flows; mapping file extensions to content types in APIs or background processing; reviewing content-type. DO NOT USE FOR: unrelated stacks; generic tasks that do not need this specific guidance. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.

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。

managedcode/dotnet-skills4892026年10月17日 更新

Guidance for implementing CollectionView in .NET MAUI apps — data display, layouts (list & grid), selection, grouping, scrolling, empty views, templates, incremental loading, swipe actions, and pull-to-refresh. USE FOR: "CollectionView", "list view", "grid layout", "data template", "item template", "grouping", "pull to refresh", "incremental loading", "swipe actions", "empty view", "selection mode", "scroll to item", displaying scrollable data, replacing ListView. DO NOT USE FOR: simple static layouts without scrollable data (use Grid or StackLayout), map pin lists (use Microsoft.Maui.Controls.Maps), table-based data entry forms, non-MAUI list controls, CarouselView or BindableLayout questions, platform-specific handler or renderer customization, diagnosing CollectionView bugs in the MAUI framework itself, or general MVVM/binding questions that merely happen to mention a list (use maui-data-binding).

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。

managedcode/dotnet-skills4892026年10月17日 更新

Discover and list all URLs on a website without extracting content, via the Tavily CLI. Use this skill when the user wants to find a specific page on a large site, list all URLs, see the site structure, find where something is on a domain, or says "map the site", "find the URL for", "what pages are on", "list all pages", or "site structure". Faster than crawling — returns URLs only. Essential when you know the site but not the exact page. Combine with extract for targeted content retrieval.

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。

tavily-ai/skills4892026年9月5日 更新

Document column-level mappings between source and target schemas. Use when integrating data from multiple systems, designing ETL transformations, or documenting how raw fields become analytical assets.

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。

nimrodfisher/data-analytics-skills4782026年9月25日 更新