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Found 111 Skills
Chinese Job Match Analysis Skill: Compares the target JD with the user's confirmed resume, experience, or claim-evidence ledger, distinguishes between matched items, insufficient evidence, and real gaps, and generates interpretable application suggestions and subsequent skill handoffs. It is used when the user enters "/job-match", requests job fit analysis, JD matching, resume gap assessment, or judgment on whether an application is worthwhile. For resume rewriting needs, hand off to /great-resume; for mock interview needs, hand off to /interview.
Analyzes and optimizes SQL queries for performance. Use for index design, query rewriting, EXPLAIN/EXPLAIN ANALYZE interpretation, PostgreSQL tuning, N+1 prevention, CTE and window function optimization, join strategies, and common SQL anti-patterns.
This skill is used when users want to review an existing code segment with an Agent — examining code rationality and identifying refactoring opportunities. It is language-neutral and focuses on design-level judgments (rather than correctness/mechanical checks). By default, it provides conversational conclusions and does not modify files proactively; hierarchical reports can be generated for archiving or large-scale code inspections, and findings can be reviewed item by item if there are multiple ones. Trigger: Users say "review / refactor / check if this code is reasonable / review with me / is there any problem with this design"; after writing a batch of code continuously, users or Agents can actively ask if inspection is needed. Not applicable: Executing single-point modifications with clear instructions from users (e.g., "change data1 to user_data"), adding new features, fixing bugs, performance tuning (profile/benchmark special projects), security audits, deterministic mechanical checks like lint, rewriting, or step-by-step inquiries (explaining code).
Converts an already-set-up docs/scrolls/ working-memory folder from visible (scrolls) to dotfile-hidden (.scrolls), renaming the folder and rewriting the path references inside it and in CLAUDE.md so nothing breaks. Use this whenever the user runs /scrolls-hide, or asks to hide, dot, or re-hide the scrolls folder, go back to hiding project memory / docs/.scrolls, or rename scrolls to .scrolls. This is the retrofit path for a project that was set up visible and now wants it hidden — for a brand-new project, /scrolls-setup's default (no -u/--unhide flag) already creates it hidden and this skill isn't needed. By default checks one exact location (docs/scrolls under the current directory); supports -r/--recurse to sweep an entire directory tree instead (e.g. every package in a monorepo in one run), repeatable -p/--path to target specific locations, -t/--reporoot to target the git repository's top level regardless of which subdirectory you're in, -l/--local to target the current directory explicitly, and the DEFAULT_SCROLLS_RELPATH environment variable to change the default location. Works on macOS, Linux, and Windows (bash or PowerShell). The opposite of /scrolls-unhide.
Reframes messages, requirements, metrics, and decisions for organizational audiences—engineering, product, finance, legal, compliance, sales, operations, actuarial, and executive—by detecting jargon, surfacing implicit assumptions, producing dual-audience briefs, RACI-aligned handoffs, owner-tagged meeting actions, technical-to-business and business-to-technical translation, and escalation summaries. Use when translating for engineering, explaining to finance, cross-department bridging, rewriting for executives, business-friendly versions, technical summaries for leadership, inter-team handoffs, department jargon, or dual-audience briefs—not external customer or brand copy (communication-lead), contract redlines (commercial-counsel), full multi-team program execution (technical-program-manager), human-language i18n/l10n product strings, or strategy-only consulting without audience reframing (business-consultant).
Interpret a single paper like a senior researcher guiding a student: extract the problem, mechanism, strength of evidence, boundaries, and transferable insights. Use this when users provide PDFs, arXiv/DOI/publisher links, local papers, or text fragments and wish to understand, critique, reproduce, or learn from them; not for paper discovery, multi-paper reviews, or just rewriting abstracts.
Rewrite English content into Simplified Chinese. It is used for rewriting English articles, documents, and blogs into Chinese. Adopt the deverbalization technique: understand the original meaning, break away from the English structure, and express naturally in Chinese instead of word-for-word translation. Preserve Markdown formatting and AI-specific terminology.
Prose rules per surface, and the loop that writes, rewrites and reviews prose against them. Use when writing or rewriting docs, code comments, commit messages, tickets, pull request bodies, review comments, skill files or CLAUDE.md, or when reviewing any of them for prose.
[Pre-Publication Risk Check] Pre-publication risk screening. It goes through each sentence of a piece of copy, spoken script, title, subtitle, comment, account profile, or visual description you're about to publish, and separately answers two things: what the platform's automated review might flag, and whether the content itself has substantive problems; each finding includes the exact location and the minimal modification action — no full-text rewriting, no teaching how to evade review. Use when the user says "can I post this", "help me check for risks", "will I get throttled", "are there prohibited words", "check before publishing", "is this sentence problematic". WeChat Moments/WeChat ecosystem throttling and ban issues are not its domain — those go to xy-private-ops. | Made by 小爷
WeWrite Multi-platform Rewrite Module: Performs genuine content-level rewriting of a WeChat Official Account article (or specified source draft) into versions adapted for other platforms. Currently supports Xiaohongshu (image-text notes) and Douyin (voiceover scripts), with checks for editing quality and similarity to the source draft. Trigger keywords: rewrite to Xiaohongshu, Xiaohongshu version, Douyin version, voiceover draft, multi-platform distribution, one draft multiple posts, platform rewrite. It should NOT be triggered by "translate", "abbreviate", or "change title" — these are single-platform editing actions.
Main entry for WeChat Official Account content: completes topic selection, material collection, writing, and review, and independently adds image matching, typesetting, or draft box publishing as requested by users. It is also responsible for distributing style settings, learning & revision, data review, and multi-platform rewriting to the corresponding wewrite-* modules. Trigger keywords: 公众号 (Official Account), 微信文章 (WeChat article), 微信推文 (WeChat tweet), 草稿箱 (draft box), 微信排版 (WeChat typesetting), 写公众号 (write Official Account article), 写一篇 (write an article). General articles, blogs, emails, short videos, and website SEO do not trigger this skill.
Reconstruct AI programming conversations and project delivery materials into a verifiable nine-stage evidence chain, distinguishing between problems, decisions, individual actions, delivery phases, effectiveness evidence, and responsibility boundaries. It is activated when users run /evidence-recap, $evidence-recap, or explicitly request a review of AI programming processes, delivery records, implementation status, and evidence gaps; it is not used for scenarios that only require resume rewriting, source code guidance, or mock interviews.