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Found 160 Skills
Convert noisy GitHub repository search results into recommendation-grade candidate lists with explicit metadata, freshness, traction signal, provenance labels, and rollback-safe reporting for maintenance PR workflows.
Orchestrate the full edge research pipeline from candidate detection through strategy design, review, revision, and export. Use when coordinating multi-stage edge research workflows end-to-end.
Skill for in-depth rewriting of Chinese articles. Must be triggered when users request "rewrite", "rephrase", "polish and restructure", "expand", "translate and rewrite", "adapt to WeChat Official Account/Zhihu style", "make this article more suitable for publication", or "optimize the expression or structure of this article". Supports three input types: inline text, file path, and URL; supports three modes: quick, standard, and publish; can supplement the latest information as needed and generate 5 title candidates. This skill should also be used even if users only say "revise this article", "translate into Chinese and rewrite", or "help me organize this into a publishable article".
Generate ultra-compact commit messages. Follows the Conventional Commits format with subject ≤50 characters, prioritizing "why" over "what". Supports both Japanese and English. Trigger with "Make a commit message", "/commit", or "/genshijin-commit". Auto-trigger candidate when staging changes.
Match spoken edit beats to candidate B-roll assets using a normalized transcript, subtitle chunking, optional A-roll analysis, and a reusable B-roll catalog. Use this when the goal is to decide what B-roll should support each beat, not just to list assets or describe the video.
Investigate transcription factor binding, cis-regulatory elements, chromatin accessibility, and regulatory variant annotation. Use when asked about TF binding sites, enhancers, promoters, ChIP-seq data, ATAC-seq signals, candidate cis-regulatory elements (cCREs), or the regulatory impact of genomic variants.
Identify candidate stocks with sufficient pullbacks but intact trends and acceptable support structures, and output observation ranges, reversal signals, and invalidation conditions. Suitable for scenarios such as bargain-hunting opportunity screening, secondary entry for strong stocks, and pullback observation for trend stocks.
Use this when the user wants to post a daily X/Twitter tweet inspired by one of their recently published WeChat Official Account articles. It selects the newest article that hasn't been tweeted yet, drafts 3 tweet candidates from it (from different angles — quote / metaphor / one-liner), posts the selected one via xurl, and records the action to history. Triggers — "Post a daily tweet", "Tweet from an article", "Today's tweet", "/wjs-tweeting-from-articles".
Executes full-project QA like a real user by discovering the repository verification contract, running build, lint, test, and startup commands, exercising core workflows end-to-end, creating realistic fixtures when needed, fixing root-cause regressions, and rerunning the full gate. Use when validating a branch, release candidate, migration, refactor, or risky commit. Do not use for static code review only, one-off unit test edits, or architecture brainstorming without execution.
Use this skill to translate a classifier's in-place verdict into a precise, page-by-page work plan for the docs-sync panel. Activate after docs-impact-classifier returns verdict in_place; reads the candidate page list, fetches the actual page contents, narrows scope to specific sections within each page, and emits the per-page task brief the panel fans out against.
Analyze candidate algorithms for time/space complexity, scalability limits, and resource-budget fit (CPU, memory, I/O, concurrency). Use when feasibility depends on input growth or latency/memory constraints and quantitative bounds are required before implementation; do not use for persistence schema or deployment topology decisions.
Draft an offer letter with comp details and terms. Use when a candidate is ready for an offer, assembling a total comp package (base, equity, signing bonus), writing the offer letter text itself, or prepping negotiation guidance for the hiring manager.