vectorpeak-agent-skills

Trigger and verify VectorPeak's personal GitHub profile README automation. Use when the user asks to manually run, rerun, test, check, or validate the VectorPeak/VectorPeak profile README GitHub Actions workflow, especially the Update profile README workflow or update-profile.yml.

Manage the user's external GitHub PR workflow from project name to fork/clone, multi-agent bug hunting, PR-value validation, formal PR creation, reviewer feedback, and detailed PR comment section expansion. Use when the user asks to fork or clone a GitHub project, find small fixable PR opportunities, launch multi-agent source review, evaluate whether a candidate is real and PR-worthy, create or update a formal PR, expand a specified section in the first PR comment, or align with project PR templates and contribution rules.

Manage the user's external GitHub PR workflow from project name to fork/clone, multi-agent bug hunting, PR-value validation, formal PR creation, reviewer feedback, and detailed PR comment section expansion. Use when the user asks to fork or clone a GitHub project, find small fixable PR opportunities, launch multi-agent source review, evaluate whether a candidate is real and PR-worthy, create or update a formal PR, expand a specified section in the first PR comment, or align with project PR templates and contribution rules.

Explicit-only skill for planning and optionally applying retrospective maintenance commits across the user's own GitHub repositories. Use only when the user directly names `contributions-graph-filler-vp` or `$contributions-graph-filler-vp`. Do not trigger implicitly from generic mentions of GitHub, commits, contribution graphs, or green walls.

Use when a task involves Feishu/Lark Minutes, Docx intelligent meeting notes, transcript documents, or Feishu source-routing for Chinese interview review, coaching, or preparation reports. Pasted transcripts are supported only as a fallback when Feishu transcript sources are unavailable.

Query the local Xiaohei Daily Assistant HTTP service for work timelines, Markdown work reports, 24-hour heat maps, and app usage duration statistics. Use when the user asks about 小黑日报助手, 日报, 工作时间线, 工作报告, 时段热力图, 应用使用时长, app usage, or productivity records from the local service at 192.168.11.212:8088.

Use when the user provides screenshots or images and wants them OCRed, converted, continued, or written into a specified Markdown file, especially for notes with headings, tables, formulas, diagrams, charts, and multi-batch image input.

Personal AI learning mentor for computer science, AI, LLM, and Agent topics. Use when the user asks with triggers such as 00, jy, 辅助记忆, 记忆, 助记, 01, gn, 概念, 概念讲解, 02, fm, 费曼, 03, lb, 类比, diff, 04, ky, lx, 题目, 出题, 刻意练习, 05, zs, tp, 知识图谱, landscape, 06, 总结, 提炼, 压缩, 卡片; supports memory aids, concept explanation, Feynman feedback, analogy-diff learning, deliberate practice, knowledge graph construction, knowledge compression, known-concept checks from LLM_wiki, optional multi-agent workflows, and optional DailyNotes integration.

Convert one or many GitHub repository, pull request, issue, discussion, commit, or code URLs into structured LLM_wiki GitHub raw-corpus Markdown. Use when the user invokes $github-clippings-vp, provides GitHub URL batches, asks to save GitHub material into 01.raw/10.GitHub, build GitHub source cards, organize repo/PR/issue URLs, or create engineering-case notes for later LLM/code-agent reference.

Clip arbitrary WeChat Official Account articles through TikHub into Obsidian Web Clipper-style Markdown bundles. Use when the user provides a WeChat public account author/name, mp.weixin.qq.com article URL, article title, screenshot/OCR text, copied page/search text, or asks to fetch selected WeChat public-account articles and save Markdown clippings into a local clippings directory or Obsidian vault folder.

Add, rewrite, review, or standardize maintainable code comments and docstrings. Use when the user asks to add comments, improve comments, write Chinese code comments, document modules/classes/functions, explain code through comments, follow an existing code comment style, or make code easier for future maintainers to understand. Default to coarse-grained module/function comments, and add fine-grained block comments only for complex control flow, async/concurrency, caching, fallback behavior, state mutation, external calls, safety checks, performance choices, or business rule priority.

Review job-related contracts or pasted contract text for red flags, warnings, protective clauses, missing protections, fairness score, and negotiation suggestions. Use when the user provides PDF, DOCX, TXT, MD, RTF, or pasted text for employment agreements, offer letters, NDAs, contractor agreements, freelance agreements, internship agreements, non-competes, severance terms, or asks for practical contract risk review.

Capture raw personal learning notes, short goals, questions, code notes, concepts, and pitfall lessons into 10-day Markdown files under E:\LLM_wiki\LLM_wiki\01.raw\02.DailyNotes. Use when the user asks to record daily notes, learning goals, doubts, questions, code snippets, code ideas, commands, concepts, study fragments, review items, pitfall lessons, debugging lessons, deployment lessons, or says to put something into DailyNotes/raw daily notes.

Create animated GIF showcases from multiple input images. Use when the user provides images and wants an ordered GIF demo, image sequence animation, feature showcase, product preview, screenshot carousel, or before/after presentation. Defaults to upload/input order, hold frames per image, fade transitions, automatic canvas sizing, and a local GIF output path.

Use when the user provides a research paper screenshot, title, arXiv/OpenReview/publisher/project URL, or article excerpt and wants Codex to identify the paper, download and verify an official PDF, classify it into the 01.raw/08.Research taxonomy, choose an optional filename prefix with --name-prefix, and report a Zotero Add Item by Identifier value such as arXiv ID or DOI.

Clip Zhihu content into Obsidian Web Clipper-style Markdown bundles. Use when the user provides a Zhihu person name or people URL, article URL/title, question URL, answer URL, screenshot/OCR text, copied snippet, or mixed clues and wants official-first identity/search verification, TikHub-final fulltext retrieval, answer clipping, grouped Markdown output, or raw Zhihu clippings saved to a local inbox/vault folder.