Docs & Writing

tuyv Bundle

Research a topic thoroughly and produce a structured report saved to Basic Memory - investigate concepts, gather context, and document findings

tuyv Bundle

Produce Word (.docx) and export existing Word/WPS manuscripts to PDF (Word 转 PDF / 试读版 / 排版修复), preserving revisions, tables and images. Especially for Chinese documents, drive minimax-skills:minimax-docx OpenXML correctly. Use whenever the deliverable is a .docx file: 生成 Word 文档 / 做一份 docx / 写合同 docx / 起草协议 / 正式文书 / 公文 / offer / 劳动合同 / 把 markdown 转成 Word / Word 排版 / 中文排版 / 签字栏 / 盖章版 / 甲方乙方, or any plain "give me a Word file" request. This skill adds the layer minimax-docx does not ship: a verified markdown-to-docx OpenXML generator, alignment rules for info and signature blocks, list numbering, CJK font dual-slot setup, and a mandatory LibreOffice-to-PDF-to-PNG visual verification chain (qlmanage thumbnails are banned — they hide exactly the bugs that matter). Engine belongs to minimax-docx; correct usage and field-tested workarounds belong here. For Markdown → PDF use daymade-docs:pdf-creator.

tuyv Bundle

Refine an admitted ProductSpec, decompose its acceptance criteria into dependency-aware work packets, allocate only host-authorized work, and report evidence without claiming approval or verification authority.

javimosch Skill

File to Markdown — Skill

javimosch Skill

Build and review vocabulary from books, podcasts, and daily encounters. Use when the user wants to READ a book, shares a new word, asks about a word while reading a book, requests a vocabulary quiz, asks about word progress, or when a cron/heartbeat triggers a scheduled quiz. Handles reading sessions, word collection, 3-step learning, spaced repetition, and progress tracking.

javimosch Skill

Real-time web search, autosuggest, and AI-powered answers using the official Brave Search API. Use for searching documentation, facts, current events, or any web content. Supports AI grounded answers with citations and query autosuggest. Requires BRAVE_SEARCH_API_KEY and BRAVE_ANSWERS_API_KEY.

caishengold Skill

当需要文档排版美化、格式标准化、结构优化时使用。触发场景：文档格式整理、Markdown排版优化、交付物格式标准化、多文档格式统一。当用户提到"排版"、"格式化"、"美化"、"format"、"排版整理"、"格式不统一"时应触发此技能。

caishengold Skill

当需要撰写ESG报告、可持续发展报告时使用。当用户提到"ESG报告"、"可持续发展报告"、"GRI"、"TCFD"、"sustainability report"时应触发此技能。

caishengold Skill

当需要编制财务报表(资产负债表/利润表/现金流量表)、管理报表、财务分析报告时使用。触发场景：编制三大报表、月度财务报告、KPI仪表板、同比环比分析。当用户提到"财务报表"、"资产负债表"、"利润表"、"现金流量表"、"financial report"、"月报"时应触发此技能。

caishengold Skill

当需要分析时尚/美妆/消费趋势、撰写趋势报告时使用。触发场景：趋势分析、流行预测、趋势报告。当用户提到"趋势分析"、"流行趋势"、"trend report"、"消费趋势"时应触发此技能。

caishengold Skill

当需要撰写项目影响力报告、年度报告、效果评估时使用。触发场景：影响力评估报告、项目年报、效果数据分析。当用户提到"影响力报告"、"项目评估"、"年度报告"、"impact report"、"annual report"时应触发此技能。

caishengold Skill

当需要撰写Bug报告相关专业文案、行业指南、科普文章时使用。触发场景：Bug报告/缺陷管理。当用户提到"报告"、"报告"、"缺陷管理"、"bug"、"report"时应触发此技能。

caishengold Skill

当需要撰写DPO报告相关专业文案、行业指南、科普文章时使用。触发场景：数据保护官报告/DPIA。当用户提到"报告"、"数据保护官报告"、"dpo"、"report"时应触发此技能。

caishengold Skill

当需要编写IoT数据报告、设备监控报告、能耗分析时使用。当用户提到"IoT报告"、"设备监控"、"能耗分析"、"传感器数据"时应触发此技能。

caishengold Skill

当需要撰写监控报告相关专业文案、行业指南、科普文章时使用。触发场景：视频监控报告/方案。当用户提到"监控报告"、"视频监控报告"、"方案"、"cctv"、"report"时应触发此技能。

caishengold Skill

当需要撰写基金报告、LP沟通函、NAV计算说明时使用。当用户提到"基金报告"、"LP信"、"NAV"、"fund report"时应触发此技能。

caishengold Skill

当需要对作物分析领域数据进行清洗、统计分析、趋势报告时使用。触发场景：农作物报告/产量分析。当用户提到"作物分析"、"农作物报告"、"产量分析"、"crop"、"report"时应触发此技能。

caishengold Skill

当需要撰写车队报告相关专业文案、行业指南、科普文章时使用。触发场景：车队管理报告。当用户提到"车队报告"、"车队管理报告"、"fleet"、"report"时应触发此技能。

tuyv Bundle

Write correct Obsidian Flavored Markdown: wikilinks, embeds, callouts, properties, tags, highlights, math, and canvas syntax. Reference this when creating or editing any wiki page. Triggers on: write obsidian note, obsidian syntax, wikilink, callout, embed, obsidian markdown, wikilink format, callout syntax, embed syntax, obsidian formatting, how to write obsidian markdown.

tuyv Bundle

Run all 8 cleanup skills in sequence: unused → cycles → dedupe → types → weak-types → defensive → legacy → slop. Each step verifies before the next runs; halts on first failure. Produces one consolidated report. Use when the user asks to clean up the whole codebase, run all cleanup skills, do a full code-quality pass, or sweep the repo. Example queries — "clean up the whole codebase", "run a full code-quality pass", "sweep this repo", "do all the cleanups in order".

tuyv Bundle

Only for explicit prior-work/reuse/history requests; never for read-only status or inspection. Finds and verifies existing successful work before substantial new production when reuse is materially plausible. Use when the user explicitly references earlier work, existing code/SOPs, history, prior decisions, another project, or says 以前做过, 已有代码, 别重复造轮子, reuse, or retrieve before produce. A mention of current/现有 tests, README, files, implementation, behavior, or validation is not a prior-work request. Do not infer the trigger merely because new work might duplicate something. Do not invoke for current-file inspection, ordinary bug fixes, mechanical verification, or merely because the final answer is a report/summary. Produces a source-verified reuse/adapt/reject receipt; zero hits never prove absence.

tuyv Bundle

Extract formatting from existing Word documents and generate new documents with the same format but different content. Use this skill when users need to create multiple documents with consistent formatting, replicate document templates, or maintain corporate document standards across different content.

tuyv 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.

tuyv Bundle

Audits an existing pm-skills skill against structural conventions and quality criteria. Produces a structured validation report with pass/fail checks, severity-graded findings, and actionable recommendations. Use when checking whether a skill meets repo standards before shipping or after making changes.

withoneai Skill

PDF.co through One

tuyv Bundle

Use when an evaluation run needs review-driven documentation updates and a structured documentation summary.

tuyv Bundle

Use when an evaluation run must merge research, findings, documentation, and repair outputs into one verified result.

tuyv Bundle

Audits manual test evidence quality: reproducibility, fail-fast behavior, expected evidence/golden files, idempotency, and documentation. Use when auditing manual tests.

tuyv Bundle

Audits documentation and comments for trust, coverage, consistency and freshness; read-only.

tuyv Bundle

Checks inline code documentation quality: WHY-not-WHAT, density, forbidden content, docstrings quality, actuality, legacy cleanup. Use when auditing comments and docstrings.

tuyv Bundle

Checks hierarchy, links, SSOT, compression, requirements compliance, freshness, legacy cleanup. Use when auditing documentation structure.

tuyv Bundle

Checks document semantic content against SCOPE and project goals, coverage gaps, off-topic content, SSOT. Use when auditing documentation relevance.

withoneai Skill

Docsend2pdf through One

pku-yuangroup Bundle

Use this skill when the user has attached a PDF, paper, report, or other document and the answer needs content from more than one place in it: summarize the methods or any other section, compare sections, find where a topic is discussed, read a value or label off a figure or chart, or find/list/extract every instance of something across the whole document (datasets, benchmarks, citations, figures, table rows, accession numbers — including appendices). Skip it only for a single lookup of 1–4 pages quoted in your very next response — `read_file(pages=[...])` attaches pages as images that are dropped from context after one turn, so multi-section answers end up re-reading the same ranges repeatedly. Parses the PDF once in the Python kernel: `pdf_pages` (pages as persistent text), `pdf_outline` (TOC), `pdf_scan` (rank pages by relevance), `pdf_map`/`pdf_extract` (per-page summary / structured fields via parallel low-cost calls). For PDF creation/manipulation, use reportlab/pypdf directly.

pku-yuangroup Bundle

Builds reproducible Quarto reports, presentations, and websites across R, Python, and Julia, with correct engine selection, cache-vs-freeze semantics, native cross-references, parameters, and environment pinning. Use when creating a Quarto report of an analysis, setting up freeze for CI, or debugging cross-references, caching, or working-directory issues.

pku-yuangroup Bundle

Run remote BLAST searches against NCBI servers using Biopython Bio.Blast.NCBIWWW. Use when identifying unknown sequences, finding homologs, picking the correct BLAST program (blastn/blastp/blastx/tblastn/tblastx/psiblast/megablast/dc-megablast), interpreting Karlin-Altschul E-values, avoiding the max_target_seqs trap (Shah 2019), choosing composition-based statistics, or limiting searches by organism. Covers RID lifecycle, database choice (nt/nr/refseq_select/swissprot), word-size and CBS taxonomy.