Docs & Writing

pskoett-pskoett-ai-skills Bundle

[Beta] CI-only learning aggregation workflow using gh-aw (GitHub Agentic Workflows). Scans .learnings/ files on a schedule, groups entries by pattern_key, identifies promotion-ready patterns, and posts a gap report as a PR or issue comment. Use when: you want automated cross-session pattern detection in CI/headless pipelines without interactive prompts. For interactive use, use learning-aggregator.

b-mendoza Bundle

Validates answers that depend on current external facts, including prices, versions, policies, rankings, recommendations, documentation, and availability. Use when the user asks for current, latest, verified, fact-checked, or up-to-date answers. Coordinates recency-checker and claim-verifier subagents to produce a current, qualified final answer.

b-mendoza Bundle

Retrieves a Jira ticket or a GitHub issue into docs/<KEY>.md as a read-only, validated Markdown snapshot for downstream workflow phases. Use when a Jira URL, a GitHub issue URL, or owner/repo/number coordinates need the Phase 1 fetch-work-item step. Detects the platform from the input and loads the matching playbook just-in-time.

b-mendoza Bundle

Plan a codebase restructuring through read-only architecture mapping, DDD and Screaming Architecture analysis, reference quarantine, bounded review repair, and a persisted decision report. Use when a user wants an evidence-backed restructuring plan without implementing file moves or refactors.

b-mendoza Bundle

Assess and respond to pull request review comments through a status-gated workflow: collect comments, evaluate feedback, draft replies, write a verified local report, and optionally post exact approved replies to supported GitHub review-comment threads.

vudovn Bundle

Architectural decision-making framework. Requirements analysis, trade-off evaluation, ADR documentation. Use when making architecture decisions or analyzing system design.

vudovn Skill

Documentation templates and structure guidelines. README, API docs, code comments, and AI-friendly documentation.

ulpi-io Skill

Turn a ticket, URL, or plain-language spec into an executed QA run AND reusable regression flows — scenarios and evidence, not ad-hoc clicking — by decomposing the request into happy/error/edge/ exploratory scenarios, driving each against the real target through the `browse` skill (web or iOS/Android/macOS), capturing pass/fail evidence, and recording cleanly-scoped browse flows worth rerunning. Saves a flow only when it is well-scoped and valuable, never noisy half-recordings. Use to QA a feature and leave behind rerunnable coverage.

ulpi-io Skill

Reach sites that BLOCK ordinary automation — the same navigate/inspect/interact/report loop as the `browse` skill, but on browse's camoufox runtime: a hardened Firefox with C++-level fingerprint spoofing, geoip, and humanized timing that passes Cloudflare Turnstile, Google "unusual traffic", DataDome, and PerimeterX, with named profiles, authenticated sessions, and proxy rotation. Honest about its limit: fingerprint spoofing alone will not defeat IP-reputation blocks — pair it with a residential proxy. Use when a page challenges or 403s a normal browser.

ulpi-io Bundle

Gate an implementation plan BEFORE agents execute it — catch phantom paths and false reuse, not typos: read the full plan markdown and its companion JSON, reality-check every file path and reuse claim against the actual repo, challenge scope, architecture, the dependency graph, and risk and test coverage, then score each section and render an APPROVE / REVISE / REJECT verdict — runs as a forked review workflow with its own reasoning budget, isolated from the main execution flow. The verdict follows only from evidence-backed findings: never rubber-stamps a non-trivial plan and never invents findings, but a genuinely clean section is allowed to pass; read-only, never edits the plan. Use when the user asks to review or gate a plan before execution.

ulpi-io Bundle

Turn a request into a SCHEDULABLE task DAG — atomic tasks with real dependencies, not planning prose: challenge scope and pick a planning mode with the user first, explore the real repo so no path is invented, then decompose into atomic TASK-NNN entries — each with a ≤3-file write scope, 2-3 testable acceptance criteria, a slice-scoped validate command, explicit dependencies, and an assigned agent — emitted as one canonical object into matching `.ulpi/plans/<name>.md` and `.json`. Every named path comes from observed repo state, the dependency graph stays acyclic, and JSON is the source of truth the markdown is rendered from — no phantom files, no circular edges, no task that hides side effects it never provisions. Use when the user asks to plan, decompose, or break work into execution-ready tasks.

whawkinsiv Bundle

Use this skill when features break, users report errors, deployments fail, or tests don't pass. Guides systematic debugging: reproducing bugs, gathering diagnostic info, reading error messages, and working with AI tools to fix issues efficiently.

whawkinsiv Skill

Use this skill when the user needs to create help docs, build a knowledge base, set up self-serve support, or reduce support tickets. Covers documentation strategy, help center structure, support tone, and scaling support without hiring.

danielmiessler Bundle

4-tier progressive web scraping that auto-escalates WebFetch to curl to Interceptor to Bright Data proxy for bot detection and CAPTCHAs, with single-URL and multi-page crawl modes, output as markdown. USE WHEN Bright Data, scrape URL, web scraping, bot detection, crawl site, CAPTCHA, can't access, site blocking, extract page content, scrape whole site, spider domain, convert URL to markdown, getting blocked. NOT FOR simple public content (use WebFetch directly), social platform scraping with named actors (use Apify), or real-Chrome bot bypass with logged-in sessions and zero CDP fingerprint (use Interceptor).

jezweb Bundle

Compare UX patterns across multiple reference apps using pattern libraries produced by ux-extract. Reads 2+ pattern-library.md files, walks them category by category, identifies where apps converge (strong signal), where they diverge (genuine design choice), what's unique to one app, and what's absent across the set. Produces an opinionated comparison document with recommendations for a new build. No browser needed — pure markdown analysis. Trigger with 'compare UX patterns', 'how do top apps handle X', 'ux comparison', 'pattern comparison across reference apps'.

tiangong-ai Bundle

Analyze local image files with ImageHash and OpenCV to detect near-duplicate photos and blurry shots, then preview or remove them. Use when Codex needs to clean a photo folder, deduplicate similar images, identify blur, or safely delete/move bad images after reviewing a report.

tiangong-ai Bundle

Orchestrate open-ended, multi-source, evidence-backed research in the current native Codex, Claude Code, WorkBuddy, or CodeBuddy host, especially when an ancestor directory contains `.tiangong-research` or the user asks to research, investigate, build on prior outputs, compare evidence, form a conclusion, or produce a reviewed research artifact. Also use for setup, preflight, native producer execution, recovery, independent review, closure, and requests to report Auto Research bugs or suggest capabilities (反馈问题、提交 Issue). In an Auto Research workspace this Skill takes precedence over individual web, news, SCI, report, patent, download, or document Skills unless the user explicitly requests one isolated standalone operation outside the research workflow. Covers Chinese requests such as “研究一下”, “朝这个方向做一做”, “结合已有成果继续研究”, “查资料并形成结论”, and “系统梳理证据”.

tiangong-ai Bundle

Perform one isolated owner-requested Tiangong report search outside Auto Research, or provide report-source method guidance for a separately reviewed locked broker capability. Searches only `report`. If an ancestor contains `.tiangong-research` and the request is open-ended, multi-source, analytical, builds on prior outputs, or produces a conclusion/artifact, route to `tiangong-auto-research` and do not execute this standalone wrapper. Inside a managed workspace, standalone use requires the user's explicit isolated-query request and `execution_mode=standalone`.

tiangong-ai Bundle

Analyze one GitHub user's code contribution activity in a specified UTC time window and generate a Markdown report focused on practical contributions (authored merged PRs, PRs merged by the target user, and authored commits) across accessible public and private repositories. Use when users ask to evaluate real engineering contribution over a period and want evidence links.

spencerpauly Skill

Generate OpenAPI/Swagger documentation for an API, including endpoint schemas, request/response types, and interactive docs UI.

spencerpauly Skill

Start the dev server, discover API routes from the codebase, hit every endpoint, and report which ones return errors.

spencerpauly Skill

Open the app in Cursor's browser at multiple viewport sizes, screenshot each, and report any layout breakage.

spencerpauly Skill

Crawl all links in a file or project, test each for a valid HTTP response, report broken ones, and fix or remove them.

spencerpauly Skill

Safely update an npm package by checking npmjs.com for the latest version, reading release notes, and handling minor vs major upgrades differently. For minor updates, just do it. For major updates, find the upgrade guide, validate breaking changes, and produce a detailed migration report.

spencerpauly Skill

Scan running terminals for dev server URLs (localhost ports), report them, and optionally open the app in Cursor's built-in browser.

spencerpauly Skill

Verify that a Markdown file has correct formatting — headings, lists, links, code blocks, spacing, and consistent style.

syncfusion-blazor-ui-components Bundle

Implement Syncfusion Blazor Sparkline Charts for compact, inline trend visualizations in Blazor applications. Use this when creating mini charts, KPI indicators, dashboard sparklines, or word-sized data visualizations. This skill covers line, area, column, WinLoss, and pie sparklines, including data labels, markers, special points (high/low/negative), range bands, tooltips, and appearance customization. Ideal for dashboards, data tables with inline trends, email reports, and mobile data visualization scenarios requiring compact trend indicators.

steelan9199 Bundle

将 Markdown 代码块中未格式化的 JSON 格式化为标准的美化 JSON。何时使用：当用户需要美化 .md 文件中的 JSON 数据或要求格式化 JSON 代码块时。

steelan9199 Bundle

本技能对 Markdown 文件执行排版优化，调整标题层级、段落留白、列表结构与引用形式等排版元素。激活条件：用户消息须包含以下关键词之一:`优化排版`、`排版优化`、`美化 markdown`、`公众号排版`、`markdown 排版`。

steelan9199 Bundle

本技能用于飞书文档(Docx)与Markdown互转，以及飞书云空间文件夹管理。激活条件：用户消息须包含以下关键词之一:`本地Markdown转飞书云文档`、`飞书云文档转本地Markdown`、`解析飞书云文档链接`、`获取飞书云文档的指定文件夹的token`、`飞书云文档新建文件夹`、`飞书云文档移动文件夹`、`飞书云文档获取指定文件夹的文件清单`、`获取飞书云文档的文件元数据`、`获取飞书云文档我的空间根文件夹元数据`、`飞书云文档搜索文档`、`飞书云文档移动知识库文档到云空间`、`飞书云文档移动Wiki到云盘`、`飞书云文档知识库文档移出`。

steelan9199 Bundle

更新飞书技能 feishu-docx-yashu 的 tenant_access_token 字段。激活条件：用户消息包含「更新/设置飞书 token」。

steelan9199 Bundle

读取 JSON 文件，将每个属性的值单独保存为 Markdown 文件，文件名为属性名。何时使用：当用户说"把这个JSON转成md文件"、"提取JSON属性为md文件"、"json转markdown文件"或需要从JSON文件提取属性保存为单独md文件时。

steelan9199 Bundle

将本地 Markdown 文章发布到微信公众号草稿箱。激活条件：用户消息必须包含以下关键词之一：`发布到公众号`、`上传 Markdown 到公众号`、`推送到公众号草稿`、`发布公众号文章`、`同步文章到微信`、`publish to WeChat`。

steelan9199 Bundle

优化本地 Markdown 文件中的公众号文章内容，使其更适合16-50岁中国用户在微信公众平台阅读。支持优化文章结构、语言表达、排版格式，提升开头吸引力、段落节奏、结尾转化。当用户需要优化公众号文章、改进 Markdown 内容质量、提升文章阅读体验时使用此技能。

product-on-purpose Bundle

Maps a customer journey across stages, touchpoints, emotional curve, pain points, and moments of truth into a markdown artifact with an optional mermaid timeline or flowchart. Use when synthesizing existing research into the shape of a customer's experience, end-to-end or for one phase. Without research signal yet, run discover-interview-synthesis or measure-survey-analysis first; refuses to fabricate emotional or behavioral data.

product-on-purpose Bundle

Checks for newer pm-skills releases, compares local vs. latest version, previews what would change, and updates local files after user confirmation. Generates a structured update report documenting changed files, new capabilities, and the value delta between versions. Use when you want to bring a local pm-skills installation up to date.