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Found 977 Skills
Write the Instagram caption - the line that survives the "... more" cut, the body, the single ask, the search terms and the three hashtags - and lint it before it goes out. Use when the user says "write the caption", "caption this", "what do I put in the description", has a reel or a carousel ready and needs the text, or asks about hashtags.
Converts C4 architecture models into EventCatalog documentation plans and hands off to catalog-documentation-creator for file generation. Use when user provides a C4 model, Structurizr DSL, C4-PlantUML, Mermaid C4, diagrams, or architecture descriptions and asks to create, update, reconcile, or map them into an EventCatalog project.
Generates Terraform HCL configurations for Cloud Monitoring notification channels (`google_monitoring_notification_channel`) and adds notification channels to alerting policies (`google_monitoring_alert_policy`) in Google Cloud projects. Use when creating or configuring email, SMS, Slack, PagerDuty, Pub/Sub, or webhook notification channels, verifying Pub/Sub topic compatibility (including cross-project topics, message storage policies, and in-transit enforcement) and publishing permissions for the Cloud Monitoring Service Agent, or adding notification channels to existing alert policies. Don't use for authoring or editing alerting policy conditions, selecting metric descriptors, or writing PromQL or Monitoring Filter queries.
The creator's own B-roll (their clips, screen recordings, photos) turned into a library any agent can search in one grep - scanned once with ffprobe and ffmpeg (length, orientation, date, GPS, one contact sheet per clip), tagged by cheap Haiku sub-agents (title, description, mood, keywords, creator on screen), then placed full screen in a short by short-editing. Use for /broll setup, /broll add, /broll use, /broll search, or when the user says "my B-roll", "add these clips", "put my B-roll on this short", "find me a sunset shot".
Read this when writing or revising articles. It applies to explanatory texts such as documentation, comments, commit messages, PR descriptions, and articles, as well as reading material such as novels. It is also useful for fixing prose that feels “AI-like” or is difficult to read.
Author, evaluate, refine, optimize, and package autonomous AI agent skills across multi-agent ecosystems with BinEval scoring and description tuning. Use when creating a new skill from scratch, editing an existing skill that misfires or undertriggers, authoring test suites for skills, optimizing skill descriptions, or packaging skills for distribution — even if the user does not explicitly say "fable-skill-creator" (e.g. "create a skill", "build a new skill", "optimize skill description", "package this skill", "teach the agent to do X"). Do NOT use for general application code changes or non-skill tasks.
Generate a working k6 browser test (k6/browser) from a plain-language description of a user journey — no CSS selectors or technical detail needed. Explores the LIVE target site with a throwaway k6/browser session to discover real, verified selectors (getByRole/getByLabel/getByText, etc.), dismisses cookie/consent banners, then writes a functional or load test using expect() from k6-testing (Web-Vitals thresholds for load). Looks up k6/browser APIs via `k6 x docs`; validates with `k6 run`. Use when the user wants to write, author, or generate a k6 browser/UI or load test with a real browser, or says things like "write a browser test for…", "test this login/checkout/search flow with k6", "click through my site and verify…", or describes navigating a site in prose. For a full multi-test performance suite use k6-perf-test-website; for HTTP/protocol (non-browser) tests use the general k6 skills; for browser or scripted checks in Grafana Cloud Synthetic Monitoring, use synthetic-monitoring-checks.
Extract invoice data from images or text descriptions and generate a categorized Excel expense report. Supports receipt photos, scanned invoices, and manual text input. Auto-classifies into: business entertainment (客户餐费), travel-transport (机票/火车票/打车), travel-accommodation (酒店), travel-meals, office supplies, communication, and other. Use when the user mentions "发票报销", "expense report", "报销单", "发票整理", "invoice", "报销汇总", "发票分类", "reimbursement", or has invoice images to process.
Generate complete business proposals for client projects. Takes client requirement documents (docx/pdf/md) or verbal descriptions as input, outputs a professionally formatted proposal with technical architecture, budget, timeline, risk analysis, and team introduction. Automatically calls illustrate for images and any2pdf for final PDF delivery. Trigger when user mentions "商务方案", "合作评估", "项目评估", "报价方案", "proposal", "需求评估", "给客户出方案", or wants to generate a client-facing project proposal from requirements.
Create an original, provenance-safe Peekling character pack from a description and optional references. Use for authoring, compiling, validating, or reviewing native character art, not for copying third-party designs.
This skill must be used when users provide a journal name and want to know submission requirements, submission format/checklist, official journal website information, community reviews, review speed, fees, article types, formatting details, or ask questions like 'how to submit to this journal/is this journal reliable/research on submission guidelines'. Verify information from official journal websites and community reviews online. By default, all intermediate files are isolated in `.bensz-api/task-{yyyymmdd-hhmm}-{brief description}/paper-know-journal/` under the current working directory, and only `KnowJournal-{journal name}.md` will be delivered as the final output. ⚠️ Not applicable: When users need to select a journal for their manuscript (use paper-select-journal), write the main body of a paper, download full-text PDFs, or ask a simple factual question that does not require a formal report.
Prepare a Honcho change for a pull request to plastic-labs/honcho. Invoke before opening a PR, when drafting a PR body, when asked if a branch is PR-ready, or when filling the pull request template. Checks the linked issue, required tests and docs, then writes Description / Proofs / Fixes.