AGENT SKILLS · EQUIPAGGIAMENTO
Agent Skills utili ordinati per utilizzo reale
Confronta Skills verificati per funzione, contenuto del pacchetto, installazioni e affidabilità della fonte.
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- Skills
- 17.520
- repository
- 2843
- ultimo aggiornamento
- 20 ott 2026
brilliantroughexp-probe
Run one-off research spot experiments with minimal ceremony. Use when explicitly requested, or for a missing datapoint, a rerun after failure (OOM, crash), a sanity check of one configuration, a minimal bug reproduction, or a cheap measurement that a campaign needs before deciding. At most one focused question; run, record, report in one line. Escalate to exp-batch if the spot check turns into a branch, or exp-campaign if it reveals a decision tree; if the question itself is still fuzzy, route b
- installazioni
- 2
- GitHub Stars
- 5
- Aggiornato
- 25 set
brilliantroughmigrate-mem
Establish useful memory for a project that already has development history, or improve an incomplete memory setup. Survey the project and its existing evidence, then initialize or enrich human-readable StrictDoc docs/ with current norms and historical context. Use Magic Context and other available memory alongside it where useful. No previous workflow, legacy folder convention, or pre-existing StrictDoc skeleton is assumed.
- installazioni
- 2
- GitHub Stars
- 5
- Aggiornato
- 25 set
brilliantroughplan-brief
Turn a complex, thought-through requirement into a detailed execution plan document plus a self-contained launcher prompt for a fresh agent session, and later review that session's report. Use when the user wants a plan before execution, wants execution handed to a separate session, or mentions 执行计划 / 计划文档 / 新会话执行 / 交接 prompt / 审查 report; also when reviewing a plan's execution report or dispatching a fix round. Grills what is still missing, applies ponytail taste, treats partial completion as le
- installazioni
- 2
- GitHub Stars
- 5
- Aggiornato
- 25 set
brilliantroughquick-do
Execute small, well-understood changes directly in the current session with minimal ceremony and ponytail taste. Use when explicitly requested, or automatically for localized fixes, mechanical edits, config tweaks, and short scripts with clear behavior and a known verification path. No plan documents or grilling; do not add tests by default. Prefer steady-do when design, compatibility, or acceptance decisions remain; prefer plan-brief when planning and execution need a separate-session handoff.
- installazioni
- 2
- GitHub Stars
- 5
- Aggiornato
- 25 set
brilliantroughsave-mem
Preserve useful project knowledge through StrictDoc, Magic Context, and available memory tools, including overlapping storage where useful. Maintain readable current norms in StrictDoc; update them when a genuine decision change is clear and briefly inform the user, without routinely churning the canon. Ordinary memories and explanatory docs can evolve more freely. Favor concise phrases, lists, tables, and occasional PS explanations; choose storage, detail, and timing with judgment.
- installazioni
- 2
- GitHub Stars
- 5
- Aggiornato
- 25 set
brilliantroughsteady-do
Develop features in an existing project within the current session with ponytail taste. Use when explicitly requested, or automatically for ordinary feature, plugin, extension, and cross-module work that needs project understanding and clarification before implementation. Survey the real flow, grill only unresolved decisions, then implement and verify here without plan or handoff documents. Prefer quick-do for clear, bounded changes; prefer plan-brief when long-horizon work needs planning and se
- installazioni
- 2
- GitHub Stars
- 5
- Aggiornato
- 25 set
brilliantroughtdd
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
- installazioni
- 2
- GitHub Stars
- 5
- Aggiornato
- 25 set
edukeyteamrespond-to-code-review
Use when a pull request or merge request has review comments to inspect, address, or answer, whether from a person or an automated reviewer on GitHub, GitLab, or Bitbucket. This skill handles feedback already received; it does not perform a new code review.
- installazioni
- 2
- GitHub Stars
- 0
- Aggiornato
- 26 set
edukeyteamwrite-adr
Use when the user wants to write ADRs (Architecture Decision Records), document technical decisions about system design, data models, API contracts, diagrams, or testing strategy, or plan implementation architecture from a PRD or feature brief.
- installazioni
- 2
- GitHub Stars
- 0
- Aggiornato
- 26 set
edukeyteamwrite-prd
Use when the user wants to write a PRD, create a product requirements document, or plan a new feature or product.
- installazioni
- 2
- GitHub Stars
- 0
- Aggiornato
- 26 set
theplannerivanplanners-review-core
人工审阅的公共接缝：一个 surface 契约 + 一份桥 + 一个"没有插件时"的本地宿主，让任何 Skill 的审阅页面都能挂进 DSH 侧栏，也能在没有 DSH 时照常跑。 被所有带审阅环节的 Skill 调用，不由用户直接触发。只有一种情况直接用它：你手上已经有一份 review-surface.json，想单独校验它，或者想在没有 DSH 的情况下把那个审阅面跑起来。
- installazioni
- 2
- GitHub Stars
- 0
- Aggiornato
- 26 set
githubgo-mcp-server-generator
Generate a complete Go MCP server project with proper structure, dependencies, and implementation using the official github.com/modelcontextprotocol/go-sdk.
- installazioni
- 2
- GitHub Stars
- 39,4K
- Aggiornato
- 25 set
arize-aiphoenix-tracing
OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.
- installazioni
- 2
- GitHub Stars
- 11,6K
- Aggiornato
- 25 set
jaypokalechisle-review
Review a diff or file through the Chisle lens: flag over-engineering, speculative abstractions, reinvented stdlib, and verbose code that a lazier approach would shrink. One finding per line, no praise. Use when the user says "chisle review", "review this for bloat", or invokes /chisle-review.
- installazioni
- 2
- GitHub Stars
- 552
- Aggiornato
- 22 set
scenario-labsscenario-3d
Use when generating or handling 3D assets through the Scenario MCP server, including text-to-3D or image-to-3D meshes, GPT-6 Astra 3D, GLB, FBX, OBJ, STL, or VOX files, PBR-textured or game-ready models, voxel models, multi-view reconstruction, retexture, remesh, UV unwrap, auto-rigging a biped or quadruped, or retargeting an animation, previewing a mesh in the inline 3D viewer, capturing a viewer screenshot, or downloading a model for import into Unity, Unreal, Godot, or Blender.
- installazioni
- 2
- GitHub Stars
- 427
- Aggiornato
- 25 set
scenario-labsscenario-caption-studio
Use when a video needs its spoken words on screen through Scenario via MCP: burned-in styled captions for a TikTok, Reels, or Shorts cut, ad captions for sound-off feeds, YouTube subtitles, an SRT sidecar, transcription of a clip's audio, captions translated into another language, karaoke or word-by-word styles, or restyling and correcting an existing transcript. Keywords: captions, subtitles, SRT, transcribe, karaoke, word-by-word, burn in, closed captions, translate video, caption style.
- installazioni
- 2
- GitHub Stars
- 427
- Aggiornato
- 25 set
scenario-labsscenario-formats
Use when one approved visual, image or video, must ship at many sizes or placements through Scenario: adapting a master to 1:1, 4:5, 9:16, or 16:9, social formats for feeds and stories, YouTube thumbnails, storefront capsules and app store graphics, marketplace product images, link previews, display banners, a website hero, or choosing between crop, resize, expand, and generative reframe. Keywords: aspect ratio, resize, reframe, outpaint, expand, derivative, safe zone, thumbnail, banner.
- installazioni
- 2
- GitHub Stars
- 427
- Aggiornato
- 25 set
scenario-labsscenario-grok-imagine-image
Use when generating or editing images with Grok Imagine models on Scenario via MCP: text-to-image, instruction editing with up to three reference images, posters, packaging, ads, or infographics with exact in-image text, photoreal shots from camera and lighting cues, extended aspect ratios up to 20:9 and 9:20, quality and resolution tiers, or batches of variations. Keywords: Grok Imagine Image 2.0, Image Quality, xAI, Aurora, Grok, txt2img, img2img, typography, 2K.
- installazioni
- 2
- GitHub Stars
- 427
- Aggiornato
- 25 set
scenario-labsscenario-identity-library
Use when a named character or prop must become a reusable identity in Scenario: creating a character or prop from a brief or interview, building its approved image collection (character: or props: ), assembling a character sheet or turnaround, or generating new images of an established one. Triggers include create a new character, design a prop, character sheet, turnaround, more images of this character. Keywords: character design, identity, library, collection, grid.
- installazioni
- 2
- GitHub Stars
- 427
- Aggiornato
- 25 set
scenario-labsscenario-ideogram
Use when generating or editing images with Ideogram models on Scenario via MCP: posters, logos, menus, packaging, or signage with exact in-image text, native transparent PNG generation with an alpha channel, background removal that keeps hair and glass edges, splitting a flat graphic into editable text layers for localization, or keeping one character consistent from a single reference photo, with inpainting. Keywords: Ideogram V4 and V3, typography, layerize, character reference, face swap.
- installazioni
- 2
- GitHub Stars
- 427
- Aggiornato
- 25 set
scenario-labsscenario-image-editing
Use when editing an existing image on Scenario through MCP with a tool model, not a new generation: upscale or enhance to 2x, 4K, 8K, super resolution, 3D LUT color grade, color correction, posterize, solarize, vignette, film grain, blur, sharpen, glow, chromatic aberration, oilify, cubism, crystallize, dodge and burn, tint, desaturate, expand or uncrop, reframe an aspect ratio, resize to exact pixels, slice tiles, contact sheet, split into layers, remove a background or watermark, vectorize.
- installazioni
- 2
- GitHub Stars
- 427
- Aggiornato
- 25 set
scenario-labsscenario-inspiration
Use when a creative task has no direction yet: finding inspiration, exploring looks or styles, proposing concept directions to pick between, building a moodboard or reference board, doing visual research, mining existing assets for a style, or escaping generic AI-looking output. Also when a saved Scenario collection should drive a new batch as art direction. Keywords: inspiration, moodboard, references, art direction, style exploration, concepts, serendipity, ideation, surprise me.
- installazioni
- 2
- GitHub Stars
- 427
- Aggiornato
- 25 set
scenario-labsscenario-luma-image
Use when generating or editing images with Luma Uni-1 models on Scenario via MCP: text-to-image, prompt-based editing of an existing image, style or character reference images with named roles, web search grounding for real-world subjects, rendering exact title text into posters, aspect ratio control, or choosing between Uni-1 Max and Uni-1. Keywords: Luma Labs, Uni-1, Photon, txt2img, img2img, image edit, reference images, webSearch, reasoning image model.
- installazioni
- 2
- GitHub Stars
- 427
- Aggiornato
- 25 set
scenario-labsscenario-model-comparison
Use when comparing Scenario models on the same brief through MCP: a bake-off with shared prompts and inputs, cost, generation time and quality measured side by side, choosing a default model, testing a new release against the incumbent, or finding which model handles a style, edit, or reference image best. Keywords: model comparison, benchmark, bake-off, A/B test, contact sheet, cost per asset, latency.
- installazioni
- 2
- GitHub Stars
- 427
- Aggiornato
- 25 set