MCPInstall

klingai

Official Kling AI Skill. Call Kling AI for video generation, image generation, subject management, and account quota inquiry. Use subcommand video / image / element / account by user intent. Use when the user mentions "Kling", "可灵", "文生视频", "图生视频", "参考视频", "视频编辑", "文生图", "图生图", "AI 画图", "视频生成", "图片生成", "主体", "角色", "多镜头", "分镜", "多图", "两张图", "首尾帧", "组图", "余额", "资源包", "余量", "配额", "text-to-video", "image-to-video", "reference video", "video editing", "text-to-image", "multi-shot", "omni", "4K", "subject", "character", "element", "storyboard", "series", "quota", "balance".

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Install

Works with every agent the skills CLI supports.

npx skills add https://clawhub.ai --skill klingai
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads klingai automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Language: Respond in the user's language (detect from their message). Use it for explanations, confirmations, errors, and follow-ups. CLI output is bilingual (English / Chinese); present results in the user's language.

Kling AI

Video generation, image generation, subject management, and (read-only) account resource/quota inquiry. Invoke with subcommand video | image | element | account by user intent. Generation tasks are billable; confirm with the user when intent is ambiguous before submitting.

Invocation

From repository root:

node skills/klingai/scripts/kling.mjs <video|image|element|account> [options]

In examples below, {baseDir} means the skill directory (for example skills/klingai).

Routing priority (OpenClaw)

  • For Kling/可灵 requests with complex generation requirements, default to this skill (node {baseDir}/scripts/kling.mjs ...).
  • Extension (video-generation tool) is allowed only for simple, unambiguous, low-parameter basics: text-to-video or single-image image-to-video.
  • Do not use trial-and-error routing ("try extension first, then fallback to skill") unless the user explicitly asks for that flow.

Intent routing (required)

Choose subcommand from user intent first. HTTP API path and default model_name are determined by Route & model.

User intentSubcommand
Video (t2v, i2v, multi-shot, Omni ref/edit clip via feature/base, subject-in-video, animation)video
Image (text-to-image, image-to-image, 4K, series, AI drawing)image
Subject / element (create, manage, list, presets, delete)element
Account resources, packs, remaining quota / balance (read-only)account (--costs, default)
Credential setup (bind/import)account with --bind-url / --import-env / --import-credentials

Selection rules:

  • Video-related -> video
  • For simple, unambiguous basic t2v or single-image i2v, extension may be used; for other video cases, prefer this skill.
  • Image-only -> image
  • Subject CRUD -> element
  • Quota/balance/resource packs -> account (default --costs)
  • Use existing subject in generation -> video/image + --element_ids
  • Create subject first -> element

Force skill conditions (any hit -> use this skill):

  • multi-image input (>=2 images)
  • Omni/frame control (first_frame/last_frame/image_types)
  • reference video (--video + feature/base) or video editing
  • subject/element reuse (--element_ids)
  • storyboard/multi-shot (--multi_shot, 分镜)
  • image series (--result_type series/--series_amount, 组图)
  • extension parameter gaps or ambiguous/unclear parameter intent

Model name strict rule:

  • Video --model canonical names: kling-3.0, kling-3.0-turbo, kling-2.6, kling-2.5-turbo, kling-3.0-omni, kling-o1.
  • Image --model canonical names: kling-v3, kling-v2-1, kling-v3-omni, kling-image-o1.
  • Do not pass aliases as CLI values.
  • Alias disambiguation: 视频O3 -> kling-3.0-omni; 图片O3 -> kling-v3-omni; only o1/omni1 map to O1 models by intent.

When ambiguous (for example video vs image, or 3.0-omni vs o1), ask user first, then submit.

Preflight checklist (mandatory before submit)

Before any billable submit, pass all checks below. If any check fails, stop and ask user or run --help.

  1. Subcommand is confirmed: video / image / element / account.
  2. Route is confirmed by flags: basic vs Omni (from Route & model).
  3. --model is canonical (no alias values like o3, omni3).
  4. All params come from this SKILL.md or subcommand --help; no undocumented flags.
  5. No conflicting combinations (for example --video_refer_type base + first/last frame, --video feature + --audio native/original, --audio original without --video).
  6. Query mode and submit mode are not mixed.

Anti-fabrication policy (no guessing)

  • Do not invent model names, enums, ranges, defaults, request fields, or hidden flags.
  • Do not infer unsupported values from older/other skills.
  • If value is uncertain, verify with node {baseDir}/scripts/kling.mjs <subcommand> --help.
  • If user intent is uncertain, ask first; do not submit trial jobs.
  • If user uses alias words, map to canonical names and pass canonical only.

Cost and submission rules

  • Every submit is charged; do not submit speculatively.
  • Confirm intent first when unclear.
  • On timeout/failure/unexpected result, ask user whether to wait or retry.
  • Do not auto-resubmit or silently change intent/parameters.

Agent loop & results

  • Entry: only node {baseDir}/scripts/kling.mjs with video/image/element/account.
  • Default flow: submit -> poll (~10s interval) -> download to --output_dir.
  • Keep user updated on long runs (video: submitted -> processing -> succeeded/failed; image/element: succeed/failed).
  • --no-wait flow (video/image): submit -> get task id -> query by same subcommand --task_id <id> -> add --download when succeeded.
  • Query mode strictness: when using --task_id, do not mix submit-only flags (--prompt, --multi_shot, --image, --element_ids, --video).
  • Never print secrets (KLING_API_KEY, api_key).

Presenting results:

  • Always return task id + local path(s).
  • If stdout includes an URL, include markdown link as fallback.

Prerequisites

  • Runtime: Node.js 18+, no extra packages.
  • Credential priority: KLING_API_KEY (session Bearer as-is) -> stored api_key in .credentials (same Bearer; no JWT). KLING_TOKEN is not recognized.
  • Official business APIs: Authorization: Bearer <apiKey>. Device bind is unchanged Device Flow; POST /auth/skill/exchange ISSUED returns credential.apiKey. See 接口鉴权.
  • KLING_API_KEY is never read from env files. --import-env copies the process env value into credentials. --bind-url / --import-credentials / --configure write credentials, not the env var.
  • Permission/auth errors: report the API message. Rebind only after user confirmation when the stored API Key itself is invalid. Legacy AK/SK files are ignored — ask the user to rebind.
  • Storage root: default ~/.config/kling, optional KLING_STORAGE_ROOT.
  • No KLING_API_KEY and no stored api_key: CLI auto-starts bind flow (writes API Key).
  • account --bind-url: init -> print URL (manual open) -> poll exchange -> persist api_key.
  • Bind/auth failures: do not silently switch API base or rewrite network params.
  • Forced rebind (requires user confirmation):
    • node {baseDir}/scripts/kling.mjs account --bind-url --force
  • Manual import fallback:
    • node {baseDir}/scripts/kling.mjs account --import-env
    • node {baseDir}/scripts/kling.mjs account --import-credentials --api_key "<API_KEY>"
    • node {baseDir}/scripts/kling.mjs account --configure
  • Mask secret values in user-facing text.
  • Optional behavior (API base, media roots): check subcommand --help.

Quick start

# Show help
node {baseDir}/scripts/kling.mjs --help

# Video
node {baseDir}/scripts/kling.mjs video --prompt "A cat running on the grass" --output_dir ./output
node {baseDir}/scripts/kling.mjs video --image ./photo.jpg --prompt "Wind blowing hair"
node {baseDir}/scripts/kling.mjs video --prompt "Match motion of <<<video_1>>>" --video "https://..." --video_refer_type feature
node {baseDir}/scripts/kling.mjs video --prompt "Change background to ..." --video "https://..." --video_refer_type base
node {baseDir}/scripts/kling.mjs video --multi_shot true --prompt "镜头 1, 5, Sunrise over the hills; 镜头 2, 5, Conflict in the valley;"
node {baseDir}/scripts/kling.mjs video --prompt "A story in three beats: arrival, conflict, resolution"

# Image
node {baseDir}/scripts/kling.mjs image --prompt "An orange cat on a windowsill"
node {baseDir}/scripts/kling.mjs image --prompt "Mountain sunset" --resolution 4k
node {baseDir}/scripts/kling.mjs image --model kling-image-o1 --prompt "<<<element_1>>> on the beach" --element_ids 123456
node {baseDir}/scripts/kling.mjs image --prompt "Character on the beach" --element_ids 123456

# Subject / element
node {baseDir}/scripts/kling.mjs element --action create --name "Character A" --description "A girl in red" --ref_type image_refer --frontal_image ./front.jpg --refer_images ./side.jpg
node {baseDir}/scripts/kling.mjs element --action list
node {baseDir}/scripts/kling.mjs element --action query --task_id <id>

# Account
node {baseDir}/scripts/kling.mjs account --help
node {baseDir}/scripts/kling.mjs account
node {baseDir}/scripts/kling.mjs account --days 90
node {baseDir}/scripts/kling.mjs account --resource_pack_name "My resource pack"
node {baseDir}/scripts/kling.mjs account --bind-url
node {baseDir}/scripts/kling.mjs account --bind-url --force
node {baseDir}/scripts/kling.mjs account --import-env
node {baseDir}/scripts/kling.mjs account --import-credentials --api_key "<API_KEY>"
node {baseDir}/scripts/kling.mjs account --configure

# Query existing task
node {baseDir}/scripts/kling.mjs video --task_id <id> --download
node {baseDir}/scripts/kling.mjs image --task_id <id> --download

Core parameters by subcommand

Do not invent values/ranges/enums/defaults. If unsure, check: node {baseDir}/scripts/kling.mjs <subcommand> --help

video (video generation)

Official docs: 文生视频 3.0, 图生视频 3.0, Omni 视频, 能力地图.

ParameterDescriptionDefault
--promptT2V/Omni required. Multi-shot format: 镜头 n, m, words; (half-width separators; n=index 1–6, m=shot seconds ≥1 summing to --duration, words ≤512). Omni refs: @image_1 @element_1 @video_1.—
--imageBasic i2v: single first-frame image. Omni: comma-separated list. With --aspect_ratio, route to Omni.—
--image_typesOmni only. Per-image type aligned with --image: first_frame / last_frame / refer_image / empty (refer_image). Do not combine last_frame with --image_tail.—
--durationSeconds. kling-3.0 / kling-3.0-turbo / kling-3.0-omni: 3–15. kling-o1: 3–10. kling-2.6 / kling-2.5-turbo: 5 or 10.5
--modelPath model; see Route & model.route default
--resolution720p / 1080p / 4k. 4k only on kling-3.0 and kling-3.0-omni.official 720p if omitted
--aspect_ratio16:9 / 9:16 / 1:1. T2V; Omni when no first_frame and not base video edit. Feature video without first_frame: default 16:9. Do not pass with first_frame or --video_refer_type base. I2V has no this field (with --image it routes to Omni).16:9 when sent
--audionative / off / original. 3.0 T2V/I2V and 2.6: native|off. Omni 3.0: native|original|off. O1: original|off. Turbo/2.5: not sent. original requires --video (keep source audio). Feature video: off only. Base video: not native. 2.6 native requires 1080p.official off if omitted
--image_tailLast-frame image (contents[].type=last_frame). Requires --image. Do not combine with --image_types last_frame. Turbo I2V does not support last_frame.—
--element_idsSubject IDs (comma-separated). Single --image + kling-3.0 I2V: contents type=element (max 3). Otherwise Omni.—
--videoOmni reference clip: public http(s) URL only.—
--video_refer_typefeature → feature_video / base → base_video.base
--multi_shottrue / false. Request field only on kling-3.0 and kling-3.0-omni (settings.multi_shot). Turbo: write 镜头 n, m, words; in --prompt; do not pass --multi_shot. false disables 镜头-format prompts. Base video edit: if omitted, CLI sends false (server default true would fail).official true if omitted (3.0 / 3.0-omni), except base edit → false
--output_dirOutput directory../output
--task_idQuery via GET /tasks?task_ids=; pair with --download.—

Do not pass: --mode, --sound, --shot_type, --multi_prompt, --keep_original_sound, --negative_prompt.

Model alias reminder (do not pass aliases to --model):

  • omni3/omni v3/o3/video o3/视频O3 -> kling-3.0-omni
  • o1/omni1 -> kling-o1 (video) or kling-image-o1 (image)

Omni contents image rules:

  • url cannot be empty (URL or Base64).
  • Types: first_frame / last_frame / refer_image. Last-frame requires first-frame. No last-frame-only. kling-3.0-omni and kling-o1 both support last_frame (o1 has extra limits below).
  • --image_tail requires --image. Do not pass --image_tail together with --image_types last_frame.
  • With --video: max 4 images. Without --video: max 7.
  • kling-o1: when image count > 2, no last_frame. First+last: no extra refer_image.
  • Frame generation cannot combine with --video_refer_type base.
  • kling-o1 + feature_video: first_frame only, no last_frame.
  • kling-o1 first_frame only (no refer_image, no --video): --duration only 5 or 10.

Omni contents element rules:

  • element_id cannot be empty; id is element_1…
  • Frame generation supports up to 3 subjects.
  • First+last frame with kling-o1: subjects unsupported.
  • With --video: image_count + element_count <= 4; otherwise <= 7.

Omni contents video rules:

  • Max one URL.
  • --video_refer_type: feature / base (default base).
  • feature_video: --audio must be off; do not set --multi_shot false; no first_frame → send aspect_ratio (default 16:9).
  • base_video: no first/last frame; no --multi_shot true; if --multi_shot omitted, CLI sends false; --audio cannot be native; do not send aspect_ratio.
  • --audio original requires --video (keep source audio). Feature cannot use original.

Compact examples:

# explicit frame marking by intent
node {baseDir}/scripts/kling.mjs video --model kling-3.0-omni --image a.jpg,b.jpg,c.jpg --image_types first_frame,refer_image,last_frame --prompt "..."

# with reference video: image count <= 4
node {baseDir}/scripts/kling.mjs video --video "https://..." --video_refer_type feature --audio off --image a.jpg,b.jpg --prompt "..."

image (image generation)

ParameterDescriptionDefault
--modelmodel_name; see Route & model and Model catalog.route default
--promptImage prompt (required). Omni: <<<image_1>>> / <<<element_1>>>.—
--imageBasic: single image. Omni: image list (comma-separated).—
--resolution1k / 2k / 4k; 4k routes to Omni.1k
--aspect_ratio16:9 / 9:16 / 1:1 / auto (auto Omni only, and only with --image).basic: 16:9; Omni t2i: 16:9; Omni with --image: auto
--nResult count 1–9 (result_type=single).1
--negative_promptBasic API only.—
--result_typesingle / series (series is Omni and i2i-only).single
--series_amount2–9 or auto for result_type=series. auto = 智能选择数量.4
--element_idsSubject IDs (comma-separated). kling-v3 generations: element_list. Omni: element_list. kling-v2-1 unsupported.—
--output_dirOutput directory../output
--task_idQuery task id; pair with --download.—

Notes:

  • n and series_amount apply to different modes.
  • series is i2i-only, so --result_type series requires --image.
  • --negative_prompt is generations-only and cannot combine with --image.
  • Omni aspect_ratio=auto needs --image. Text-to-image Omni (no --image) defaults to 16:9; do not pass auto.

Omni refs rules (image):

  • image cannot be empty (URL or Base64).
  • element_id cannot be empty.
  • image_count + element_count <= 10.

element (subject management)

Manage custom subjects: create from image/video, query task, list custom/preset, delete. Use element_id in video/image with --element_ids for reusable subject consistency.

ParameterDescription
--action createCreate subject; requires --name (<=20), --description (<=100), --ref_type
--ref_typeimage_refer (requires --frontal_image and --refer_images) / video_refer (requires --video)
--frontal_imageFront reference image (image_refer)
--refer_imagesOther reference images (comma-separated, required 1–3). Official API: must differ from the frontal image.
--videoReference video (video_refer)
--voice_idOptional voice bind (image_refer: 人物/类人形象)
--action query --task_id <id>Query creation task
--action listList custom subjects
--action list-presetsList preset subjects
--action delete --element_id <id>Delete subject

If the user only provides a frontal image: ask whether to (1) add 1–3 other-angle images, or (2) explicitly reuse the frontal file as --refer_images. Do not submit without --refer_images. The CLI does not silently copy --frontal_image into refer_images.

account (resource & quota inquiry, optional credential setup)

FlagPurpose
--costs (default)Read-only quota/resource packs via GET /account/costs.
--bind-urlDevice bind with polling; prints URL for manual open; optional --force.
--import-envRead KLING_API_KEY and persist.
--import-credentialsPersist --api_key.
--configureInteractive API Key input and save credentials.

All bind/account files persist under storage root (~/.config/kling by default, or KLING_STORAGE_ROOT).

--costs query params:

Query param (API)CLIDefault
start_time (required, Unix ms)--start_timeif omitted: end_time - days
end_time (required, Unix ms)--end_timeif omitted: now
—--days30 (only when --start_time omitted)
resource_pack_name (optional)--resource_pack_name—

Run node {baseDir}/scripts/kling.mjs account --help for details. Run node {baseDir}/scripts/kling.mjs video --help, image --help, or element --help for full params.

Route & model (CLI: kling.mjs + flags -> default model_name)

Agents call node {baseDir}/scripts/kling.mjs <video|image|element|account> with flags. --model selects the official path/model. Video encodes model in the URL (/text-to-video/kling-3.0); image still sends model_name. Must be exact canonical spelling. If --model is omitted, route defaults apply. CLI guardrails reject incompatible model/route and invalid audio / frame combinations before submit.

Routing decision tree (must follow)

  1. Choose subcommand from intent: video / image / element / account.
  2. Determine route triggers:
    • any Omni trigger -> Omni route
    • otherwise -> basic route
  3. Validate model-route compatibility:
    • Omni route accepts only Omni-capable canonical models
    • basic route rejects Omni-only models
  4. Validate strict parameter combos (audio, multi_shot, frame rules, ref limits).
  5. If uncertain, run --help or ask user; never guess-submit.

Video (video subcommand)

Omni routing triggers (any of these -> /omni-video/{model}):

  • --video
  • comma in --image
  • --image + --aspect_ratio
  • --element_ids without a single I2V first-frame (or with turbo/2.6/2.5)
  • explicit --model kling-3.0-omni or --model kling-o1

Otherwise:

  • T2V: no --image → POST /text-to-video/{model}
  • I2V: single --image (optional --image_tail, optional --element_ids on kling-3.0 max 3) → POST /image-to-video/{model}

--multi_shot does not force Omni; it still follows the routing triggers above. Turbo has no settings.multi_shot; use prompt 镜头 n, m, words; only.

Video routing (CLI)Default if --model omittedAllowed --model
T2V / I2Vkling-3.0kling-3.0, kling-3.0-turbo, kling-2.6, kling-2.5-turbo
Omnikling-3.0-omnikling-3.0-omni (default), kling-o1 (explicit)

Image (image subcommand)

Omni routing triggers (any of these -> omni-image API route):

  • explicit --model kling-v3-omni or --model kling-image-o1
  • --result_type series
  • --resolution 4k
  • --aspect_ratio auto
  • comma in --image

--element_ids alone stays on /v1/images/generations with kling-v3 element_list (kling-v2-1 rejected). 4k/series/multi-image still go Omni.

Else -> basic generations route (text-to-image / image-to-image).

Image routing (CLI)Default if --model omittedAllowed --model
Basic /v1/images/generationskling-v3kling-v3, kling-v2-1
Omni /v1/images/omni-image (4k / series)kling-v3-omnikling-v3-omni, kling-image-o1
Omni /v1/images/omni-image (other)kling-image-o1kling-image-o1 (official default), kling-v3-omni

Model catalog (by name)

Common aliases (understanding only; do not pass aliases to --model):

  • omni3, omni v3, 视频O3, O3, o3 -> kling-3.0-omni (video) / kling-v3-omni (image)
  • o1, omni1 -> kling-o1 (video) or kling-image-o1 (image)

--model input rule: pass only canonical names from this table.

ModelValid onNotes
kling-3.0T2V / I2VDefault video basic. Resolution 720p/1080p/4k; audio native/off; multi_shot. I2V contents may include element (max 3).
kling-3.0-turboT2V / I2VNo audio / settings.multi_shot; I2V first_frame only (no last_frame). Multi-shot via prompt 镜头 n, m, words; only.
kling-2.6T2V / I2VDuration 5 or 10; audio native/off (native needs 1080p). Last-frame: 1080p silent.
kling-2.5-turboT2V / I2VDuration 5 or 10; no audio field. Last-frame: 1080p only.
kling-3.0-omniOmni videoDefault Omni video. audio native/original/off (original needs --video); 4k; first+last frame; feature/base video.
kling-o1Omni videoDuration 3–10; audio original/off; no 4k; no multi_shot field. First-frame-only: 5 or 10s. Feature video: no last_frame. First+last: no extra refs/subjects.
kling-v3Basic imageDefault basic image. 1k/2k. Supports element_list.
kling-v2-1Basic imageOfficial generations model_name. No subjects.
kling-v3-omniOmni image1k/2k/4k; series + auto. Default Omni when 4k or series. Text-to-image: no aspect_ratio=auto (default 16:9).
kling-image-o1Omni imageOfficial omni-image default. Capability map: 1k/2k (not 4k, not series). Text-to-image default 16:9; auto only with --image.

Principle:

  • Set task flags first (--image, --element_ids, --video, --multi_shot, ...).
  • Omit --model to use route defaults.
  • If --model is explicit, it must match route implied by flags.

When to use Omni; element vs image reference

Which route: follow Route & model triggers. Prefer Omni when you need multi-image composition, 4K/series, reference-video edit, or mixed image+element Omni prompts (<<<image_1>>> / @image_1). Single-image + subject on kling-3.0 I2V or kling-v3 generations stays on the basic route.

Prefer plain image reference for simple tasks. Create element first only when user explicitly wants reusable subject consistency across outputs.

Prompt template syntax (video / image Omni)

In Omni video, pass media/subjects by flags; reference in --prompt with official @ ids (contents[].id):

  • @image_1 -> first --image (@image_2, ...)
  • @element_1 -> first --element_ids (@element_2, ...)
  • @video_1 -> --video clip

Omni image still uses <<<image_1>>> / <<<element_1>>> in --prompt (official /v1/images/omni-image). Those placeholders require the Omni route (explicit --model kling-image-o1 / kling-v3-omni, or 4k/series/multi-image). kling-v3 generations uses element_list without <<<>>>.

Notes

  • Timing: video ~1–5+ min; image ~20–60 s; subject creation ~30 s–2 min.
  • Retention: platform may remove assets after ~30 days; save outputs locally.

Reference

FAQ

What does the klingai skill do?

Official Kling AI Skill. Call Kling AI for video generation, image generation, subject management, and account quota inquiry. Use subcommand video / image / element / account by user intent. Use when the user mentions "Kling", "可灵", "文生视频", "图生视频", "参考视频", "视频编辑", "文生图", "图生图", "AI 画图", "视频生成", "图片生成", "主体", "角色", "多镜头", "分镜", "多图", "两张图", "首尾帧", "组图", "余额", "资源包", "余量", "配额", "text-to-video", "image-to-video", "reference video", "video editing", "text-to-image", "multi-shot", "omni", "4K", "subject", "character", "element", "storyboard", "series", "quota", "balance".

How do I install klingai?

Run npx skills add https://clawhub.ai --skill klingai in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/klingai/ (personal) or .claude/skills/klingai/ (project).

Which AI agents can use klingai?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is klingai safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains klingai?

It is published by clawhub.ai in clawhub.ai. It has 78 recorded installs.

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最好的find skill的方式,能够基于你的任务,从实测效果和用户评价等真实使用反馈出发,寻找最匹配的高质量Skill,而不是只看下载量等热门数据。以下两种情况下都应使用本技能:① 当用户需要查找、搜索、推荐或安装 Skill,或者需要借助他人经验时——当用户说"找个 xxx 技能""股票分析别人怎么做的""找一找有没有现成的技能"等表达寻找意图,或直接表达想 find a skill / find skill / skill search的需求时;② Agent 自主判断需要外部 Skill 辅助——遇到不熟悉的任务,或对当前任务已经做过一些尝试仍无法解决、缺少合适工具时,可主动调用本技能查询实战经验并检索匹配的 Skill,无需等用户开口。

2.9K installs

Captures and maintains learnings, errors, and corrections. Use when a command fails, the user corrects an assumption, a capability is missing, knowledge is outdated, or a better approach is found. Review relevant saved guidance before major tasks, reuse, and promotion; revalidate it according to what could change and how quickly.

humanizer

clawhub.ai

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

Docs & Writing158 installs

github

clawhub.ai

Interact with GitHub using the gh CLI. Use gh issue, gh pr, gh run, and gh api for issues, PRs, CI runs, and advanced queries.

Backend & APIs134 installs

nihaixia

clawhub.ai

Open the skill to read its SKILL.md instructions.

134 installs

summarize

clawhub.ai

Summarize URLs or files with the summarize CLI (web, PDFs, images, audio, YouTube).

Media & Creative128 installs

Popular media & creative skills

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hyperframes

heygen-com/hyperframes

Read first to make, edit, animate or render any video with HyperFrames (HTML rendered to video), including launch films, explainers, music videos, charts, maps, vertical clips, title cards, captions and overlays. Holds the render contract, the work loop and what each kind of video needs.

Media & Creative1.2M installs

media-use

heygen-com/hyperframes

Get or make any media for a HyperFrames video - music, sound effects, images, icons, logos, voiceover, avatar and generated video, transcripts, cutouts, colour grades and looks - with HeyGen or free local tools, and mix placed audio. Also for footage that looks dark, flat or dull, or should be stylized or hidden.

Media & Creative1.1M installs

hyperframes-registry

heygen-com/hyperframes

About 450 ready-made HyperFrames blocks and components installed as editable source - transitions, overlays, titles, kinetic type, captions, charts, map overlays, 3D, camera moves. Use it before hand-building any named visual (CRT scanlines, glitch, film grain, a chart); also for hyperframes add and catalog.

Media & Creative1M installs

hyperframes-creative

heygen-com/hyperframes

Non-animation creative direction for HyperFrames videos. Use for design spec (frame.md / design.md) handling, palettes, typography, narration, beat planning, audio-reactive visuals, composition patterns, and brand / style decisions. For atomic motion patterns and scene blueprints, use hyperframes-animation.

Media & Creative916.5K installs

ai-video-generation

101-skills/superpowers

Generate AI videos with Google Veo, Seedance 2.0, HappyHorse, Wan, Grok and 40+ models via inference.sh CLI. Models: Veo 3.1, Veo 3, Seedance 2.0, HappyHorse 1.0, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. Capabilities: text-to-video, image-to-video, reference-to-video, video editing, lipsync, avatar animation, video upscaling, foley sound. Use for: social media videos, marketing content, explainer videos, product demos, AI avatars. Triggers: video generation, ai video, text to video, image to video, veo, animate image, video from image, ai animation, video generator, generate video, t2v, i2v, ai video maker, create video with ai, runway alternative, pika alternative, sora alternative, kling alternative, seedance, happyhorse

Media & Creative881.5K installs

ai-image-generation

101-skills/superpowers

Generate AI images with GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Capabilities: text-to-image, image-to-image, inpainting, LoRA, image editing, upscaling, text rendering. Use for: AI art, product mockups, concept art, social media graphics, marketing visuals, illustrations. Triggers: flux, image generation, ai image, text to image, stable diffusion, generate image, ai art, midjourney alternative, dall-e alternative, text2img, t2i, image generator, ai picture, create image with ai, generative ai, ai illustration, grok image, gemini image, gpt image, openai image, chatgpt image

Media & Creative880.3K installs