aictrl

dev.aictrl由 aictrl.dev 發布官方發布者v1.0.0-beta.3更新於 Nov 7, 2026

Project context, backlog tasks, and controlled workflows for coding agents. OAuth sign-in.

已驗證Streamable HTTP可網頁執行效率與工作流開發者工具AI 與機器學習

概覽

AI 產生的概覽

託管於 aictrl.dev 的 MCP 伺服器,讓編碼助理取得專案脈絡、待辦任務、程式碼審查發現並執行受控工作流程。

可以做什麼
  • 讀取專案脈絡與 aictrl 組織的帳號就緒狀態
  • 列出可用的待辦任務與已發布工作流程
  • 取得託管服務中的程式碼審查發現
  • 在權限與核准關卡約束下啟動已發布工作流程
  • 搭配隨附的工程技能完成建立議題、實作、程式碼審查與根因分析
適用情境
當編碼助理需要依某個 aictrl 組織的待辦任務與專案脈絡工作,或希望透過 aictrl.dev 受控、具核准關卡的工作流程產出經審查的拉取請求,而非僅在本機執行時使用。
執行需求
遠端 Streamable HTTP 端點 aictrl.dev/mcp,不需 API 金鑰或本機程序。需要 aictrl 帳號及所屬 aictrl 組織成員身分,並透過瀏覽器完成 OAuth 登入。涉及儲存庫的工作還需透過 aictrl GitHub App 連接 GitHub 儲存庫。
安裝前請注意
OAuth 會依你的組織成員身分授予伺服器存取專案資料的權限。工作流程執行可啟動真實的雲端作業,變更儲存庫並可能產生費用,受工作流程權限、核准關卡與費用上限約束。託管伺服器原始碼未公開,其資料蒐集情形僅見於隱私政策與服務條款。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 aictrl,將其新增到工作區。
  2. 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
  3. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/dev.aictrl%2Faictrl/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。

{
  "mcpServers": {
    "aictrl": {
      "type": "http",
      "url": "https://aictrl.dev/mcp"
    }
  }
}

README

[GitHub Stars] [Skills]

aictrl.dev engineering skills and plugin

Essential, vendor-neutral AI engineering skills for the AI SDLC: turning bug reports and requests into well-defined issues, root-cause analysis, implementing changes, code review and explaining pull requests. Install the skills alone, or install the aictrl.dev plugin to add the same skills plus OAuth-connected workflows that run in the cloud on aictrl.dev, turning backlog work into reviewed pull requests.

aictrl MCP server

The hosted aictrl MCP server gives coding agents access to project context, backlog tasks, code-review findings, and controlled workflow execution. Connect to https://aictrl.dev/mcp using Streamable HTTP and sign in with OAuth. No API key or local server process is required.

You need an aictrl account and membership of an aictrl organization. Repository-backed work also needs a GitHub repository connected through the aictrl GitHub App. Access follows your organization membership; workflow execution follows the published workflow's permissions and approval gates.

GitHub Copilot in VS Code:

  1. Open the Command Palette and run MCP: Add Server.
  2. Choose HTTP (HTTP or Server-Sent Events) and enter https://aictrl.dev/mcp. Name the server aictrl and choose the configuration destination.
  3. Start the server from VS Code's MCP controls and complete the browser sign-in when prompted.

See VS Code's MCP setup guide for configuration destinations and server controls.

In other MCP clients, add the same remote URL and complete OAuth when prompted. The Claude Code and Codex plugins below already include the MCP configuration. See SETUP.md for connection checks and troubleshooting.

Try these prompts after connecting:

  • "Check my aictrl account readiness."
  • "Which aictrl organizations can I use?"
  • "Show the backlog tasks for my organization."
  • "List the published workflows I can run."

This public repository contains the skills, client configuration, and registry metadata for the hosted service. The hosted server's source code is private.

Install

Skills only — Codex, Claude Code, OpenCode, and compatible agents

bash
npx skills add aictrl-dev/skills

Claude Code plugin

/plugin marketplace add aictrl-dev/skills/plugin install aictrl@aictrl-public

Codex plugin

bash
codex plugin marketplace add aictrl-dev/skills --ref maincodex plugin add aictrl@aictrl-public

OpenCode — install the skills with npx skills add aictrl-dev/skills, then add the connected-workflow server to opencode.json and sign in:

json
{ "mcp": { "aictrl": { "type": "remote", "url": "https://aictrl.dev/mcp", "enabled": true } } }
bash
opencode mcp auth aictrl

Cursor / direct OpenCode skills — skills use the cross-tool Agent Skills standard:

git clone https://github.com/aictrl-dev/skills && cd skills./scripts/install.sh cursor       # or: opencode | all

…or copy skills/* into your tool's skills dir (~/.cursor/skills, ~/.config/opencode/skills).

Then ask for the task naturally or invoke a supported slash command, for example /create-issue, /implement-code-change, /code-review, /create-workflow, or /execute-workflow.

The Skills

SkillWhat it doesTry it
create-issueVague feature or chore → code-grounded issue with scope, acceptance criteria, tests, risks, and open questions./create-issue
create-bugSymptoms or regression → reproducible, evidence-backed bug and regression-test requirement./create-bug
spec-reviewIssue/spec → repository-grounded readiness verdict and concrete gap fixes./spec-review
implement-code-changeIssue → tested, reviewed, merge-ready PR locally or through an optional connected workflow./implement-code-change
create-prExact revision + evidence → concise reviewer-ready PR title and body, with rollout and verification claims kept honest./create-pr
code-reviewExact PR head → actionable correctness, security, reliability, and test findings; no code changes./code-review
judge-review-findingsCurrent-head findings → TRUE/FALSE/UNCERTAIN plus FIX/DEFER/IGNORE judgments./judge-review-findings
reply-to-code-reviewAccepted review findings → fixes, verification, evidence-backed replies, and bounded re-review./reply-to-code-review
root-cause-analysisIncident or recurring failure → evidence-driven causal analysis, sibling exposure map, and prevention portfolio./root-cause-analysis
create-workflowWorkflow intent → validated aictrl.dev workflow v2 YAML with portable inline task nodes./create-workflow
execute-workflowPublished workflow → explicitly authorized, idempotent start with safe monitoring, gates, cancellation, and durable handoff./execute-workflow
design-reviewDrop an HTML mock or screenshot — get a sharp, located critique across IA, value prop, hierarchy, trust/friction, and a11y. Ends with "Fix these 3 first."/design-review path/to/mock.html
measurement-planFeature → structured measurement plan: learning objectives, metrics table, product-analytics events, warehouse changes, event pipeline./measurement-plan
recording-product-demoPoint it at a repo with a web UI — it boots the app, preps demo data/auth, records a time-locked Playwright demo synced to prepared narration from your selected speech tools, and builds a publish kit (MP4 + captions + embed)./recording-product-demo
explain-changePR, commit range, or design document → a grounded technical explainer of the design, difficult trade-offs, and real rollout state./explain-change
ui-polishPoint it at a screen — it renders phone and desktop, measures what screenshots hide (column alignment, field widths, labels, tap targets, contrast, dead space), fixes the source and re-measures until the checks pass./ui-polish
ux-testingPoint it at a page or prototype and a few tasks — AI testers act as first-time users through the accessibility tree or screenshots, success is verified from page state (not the tester's claim), then a design-review and fix loop re-tests into a before/after scorecard. Optional simulated users screen layout hypotheses./ux-testing path/to/page.html

design-review in action

Input: a SaaS landing page mock.

Value Proposition — WEAK  Hero headline "Workflows made simple" says nothing about what the product does.  Fix: replace with a one-liner that names the user, the problem, and the outcome.
Actionability — BROKEN  Three competing CTAs above the fold (Start free, Book demo, Watch video).  Fix: one primary CTA above the fold; demote the others below.

Every critique names the element. Every fix is concrete. No generic "improve clarity."

ux-testing in action

On an internal work-queue design, novice agent testers asked to start the most important ready work approved a security review instead (v5: 2 of 2). After the fix loop moved the ready work above the approvals, 3 of 3 started the right issue. Simulated users reproduced the same trap (72% clicked Approve), and checks against page state caught a tester who reported success after creating nothing. Write-up: AI usability testing on a backlog design.

Why these exist

These skills are free and standalone. aictrl.dev adds controlled remote execution, approvals, policy, history, integrations, and cost limits. implement-code-change can use an optional connected workflow, and execute-workflow safely operates an existing published workflow; local mode remains available for every launch skill except the connected-only execute-workflow.

The Claude and Codex plugins and the skills.sh install all consume the root skills/ directory directly. There are no vendor-specific copies to repin or hand-edit. Connected execution always uses the aictrl MCP identity at https://aictrl.dev/mcp; OAuth is requested only when a connected workflow is used.

Privacy, terms and support

The skills run locally and send nothing to aictrl.dev. The bundled aictrl MCP server is used only when you connect it with OAuth; what it collects and keeps is described in the privacy policy and terms. Support: aictrl.dev/support or [email protected]. Security reports: security.txt. Setup guidance for the MCP connection is in SETUP.md.

Optional third-party services and keys

Bundled helpers in two skills can send data to a third-party service, only in the steps below and only when you run them. Nothing runs on install. A key is read only for its step, sent only to the service named in that row, and never printed, logged or stored. Each key belongs to the service it is sent to: Google credentials go only to Google, the TypeSafe key only to TypeSafe, and a custom simulator key only to the endpoint you set alongside it. The bundled aictrl MCP server never receives any of them.

Narration is prepared using the user's selected speech tools (for example, ElevenLabs) or supplied as audio plus measured word timestamps. Those tools receive the narration text/audio under their own configuration. The plugin does not include a narration API client or read speech-provider credentials; its splitter processes the prepared files locally.

No other skill sends data to a third-party service; the browser-based skills (ui-polish, ux-testing) load only the app URL you give them.

SkillStepService and what is sentEnvironment variables read
recording-product-demoUpload to YouTube (publish.cjs --upload with publish.upload.type youtube, opt-in)Google (oauth2.googleapis.com, www.googleapis.com): the rendered MP4, title and description, uploaded to your own channelYT_CLIENT_ID, YT_CLIENT_SECRET, YT_REFRESH_TOKEN
recording-product-demoUpload to a bucket (publish.cjs --upload with publish.upload.type gcs or s3, opt-in)Google Cloud Storage or Amazon S3, through your own gcloud storage cp or aws s3 cp: the whole publish kit (MP4s, poster, captions, embed page, PUBLISH.md) to the bucket path you configureNone: the CLI uses its own signed-in credentials
ux-testingSimulated users (optional; agent testers need no key)TypeSafe (api.typesafe.ai), or an endpoint you set: the page state and candidate actions for each simulated stepTYPESAFE_API_KEY (optional UX_SIM_MODEL overrides the default model), or UX_SIM_ENDPOINT + UX_SIM_API_KEY + UX_SIM_MODEL

Without these variables the local demo pipeline still runs with prepared narration; an explicitly requested upload reports missing configuration, and ux-testing continues with agent testers only. UX_VERIFY_TOKEN is a local token between the ux-testing scripts and their own local server; it is never sent off the machine.

Contributing

PRs that add skills are welcome — see CONTRIBUTING.md. Release owners should also follow the public plugin release runbook.

來源:README.md,提交 e494d66

工具

0
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版本歷史

2
  1. v1.0.0-beta.3最新Oct 29, 2026
  2. v1.0.0-beta.2Oct 26, 2026

評分

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其他 Aictrl 整合