image-prompt
Write four distinct prompts for AI image models. Use for image, thumbnail, banner, logo, or illustration prompts. Produces prompt text only.
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31 301 skills в каталога
Как подбирам и измервамДанните имат нужда от нова проверка.Последна успешна проверка: 23.09.2026 г.
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Търсене в целия индекс. Метаданните показват посоченото от източника; липсващите стойности остават означени.
Датата в GitHub е отделна от първата поява в моя индекс. Филтърът по дата изключва записите без посочено обновяване.
Страница 63: 24 записа в 9 групи по репозиторий. Всички записи от страницата са показани. Номерът пази позицията от избраната подредба.
5 skills от този източник на тази страница
Write four distinct prompts for AI image models. Use for image, thumbnail, banner, logo, or illustration prompts. Produces prompt text only.
Launch a new bb worker thread with the right project, model, worktree, and task brief. Use for nagent, launching a bb session, or a standalone bb agent. Covers thread creation; use bb-cli for managing existing threads.
Research online purchases, prices, and shop trust. Use for buying advice, subscriptions, or shopping photos, links, and checkout screens.
Write a prompt teammates can give their AI agents to apply a fix, upgrade, or setup change. Use only when the user explicitly invokes /prompt-for-others.
Research a person''s public track record and give a short credibility assessment. Use only when the user explicitly invokes /who-is-this.
1 skill от този източник на тази страница
Use when the user asks to run GNHF, says they are going to sleep or leaving and wants an agent-managed coding run, asks to supervise, steer, or review an active GNHF run, or gives feedback on GNHF results.
1 skill от този източник на тази страница
Use this skill when the user wants to deep-read a specific BestBlogs resource (article / podcast / video / tweet) — fetch its metadata + markdown so a local LLM or reader can consume it, and automatically report the read behavior back to BestBlogs. Triggers include "深度阅读这篇 / 拉这篇内容的 markdown / bestblogs read / 给我看看 RAW_xxx 的正文", "deep read this BestBlogs article", "pull markdown for resource RAW_...". Invokes the `bestblogs` CLI.
1 skill от този източник на тази страница
Plug-in vision for text-only models. Hard rule: when a file path or URL with an image extension (.png, .jpg, .jpeg, .webp, .gif, .heic, .heif) appears anywhere in the conversation (typed by the user, injected as a `[Image: source: <path>]` line, or inside a tag) and you cannot see that image's content, run this skill on it before any other approach: no self-built OCR, no PIL, no tesseract. Also triggers on pasted-image placeholders such as `[Image #1]` and `[Unsupported Image]`. If you can actua
1 skill от този източник на тази страница
Research technology and advanced-manufacturing investments using Serenity-inspired supply-chain bottleneck analysis. Use for theme scans, company thesis challenges, candidate comparisons, or learning this method. Prioritize A-shares unless another market is requested. Return research priorities, dated evidence, profit implications, and conditions that would change the judgment.
4 skills от този източник на тази страница
Synthesize GitHub delivery context into a concise Basic Memory project update. Use in CI after `bm ci collect` prepares a ProjectUpdateContext; return only structured AgentSynthesis JSON for `bm ci publish`.
Defragment and reorganize agent memory files: split bloated files, merge duplicates, remove stale information, and restructure the memory hierarchy. Use when memory files have grown unwieldy, contain redundancies, or need reorganization. Run periodically (weekly) or on demand.
Structured metadata search for Basic Memory: query notes by custom frontmatter fields using equality, range, array, and nested filters. Use when finding notes by status, priority, confidence, or any custom YAML field rather than free-text content.
Research an external subject using web search, synthesize findings into a structured Basic Memory entity. Use when asked to research a company, person, technology, or topic — or when a bare name or URL is provided that implies a research request.
1 skill от този източник на тази страница
Trigger when the user asks which model to use, wants to compare model costs, says "what's cheapest for this task", "should I use Opus or Sonnet", "can a smaller model handle this", or "/model-cost-compare". Estimates token cost across Opus 4.6, Sonnet 4.6, GLM-5.1, Minimax M2.7, and local Gemma 4, then recommends the cheapest model capable of the task.
2 skills от този източник на тази страница
Swift Concurrency review and remediation for Swift 6.2+. Use when asked to review Swift Concurrency usage, improve concurrency compliance, or fix Swift concurrency compiler errors in a feature or file. Concrete actions include adding Sendable conformance, applying @MainActor annotations, resolving actor isolation warnings, fixing data race diagnostics, and migrating completion handlers to async/await.
Refactor and review SwiftUI view files with strong defaults for small dedicated subviews, MV-over-MVVM data flow, stable view trees, explicit dependency injection, and correct Observation usage. Use when cleaning up a SwiftUI view, splitting long bodies, removing inline actions or side effects, reducing computed `some View` helpers, or standardizing `@Observable` and view model initialization patterns.
8 skills от този източник на тази страница
Agent Orchestration Rules
Guide for integrating Agentica SDK with Claude Code CLI proxy
Write reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity
Analyze Claude Code sessions via Braintrust
Braintrust tracing for Claude Code - hook architecture, sub-agent correlation, debugging
Claude Code CLI commands, flags, headless mode, and automation patterns
Complete Claude Code hooks reference - input/output schemas, registration, testing patterns
Semantic search across codebase using LEANN vector index
Пазя съществуващия каталог и добавям намерени SKILL.md файлове след прочит на метаданните. Наличният индекс остава използваем, когато проверката е частична.
Платформата и нивото описват записаното в източника. Те не са гаранция за съвместимост. Български текст се показва само когато в каталога има отделен превод; иначе виждате оригинала с означен език.
Общите звезди показват натрупана популярност. За „Набират интерес“ се сравнява измереният темп при достатъчен интервал. ≥ означава непълна извадка. Под един час не изчислявам дневен темп; методът и изминалият период се показват до записа.
Проверете файла, лиценза и нужния достъп преди употреба. Нито каталогът, нито четенето на SKILL.md изпълняват външни инструкции.
Темата Agent Skills в GitHub