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Al Agent Task

Community
javiarmesto
al-agent-task

Generate AL code for Business Central Agent SDK task integration. Applies the patterns from skill-agent-task-patterns to produce production-ready codeunits, page extensions, and event subscribers — verified against the runtime API availability matrix. ALDC workflow (Copilot prompt al-agent.task); invoke explicitly.

Overview

Publisherjaviarmesto
RepositoryALDC-AL-Development-Collection
Skill nameal-agent-task
Stars
115
Forks
37
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by javiarmesto on GitHub. Read the source before you install it.

Installation

Install the Al Agent Task AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/javiarmesto/ALDC-AL-Development-Collection/tree/main/.claude/skills/al-agent-task
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/javiarmesto/ALDC-AL-Development-Collection.git /tmp/ALDC-AL-Development-Collection
mkdir -p .claude/skills
cp -r /tmp/ALDC-AL-Development-Collection/.claude/skills/al-agent-task .claude/skills/al-agent-task
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Al Agent Task in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Al Agent Task on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Al Agent Task is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Claude Code adapter — generated by scripts/sync-plugin-support.js, do not edit. Canonical source: prompts/al-agent.task.prompt.md (sha256 2fd84ae74f374a979d6cc65fccd9aa51c8c60d7fba6ae9628d892446f3da6f1f). This workflow was written for @workspace use … in GitHub Copilot Chat. Apply these harness mappings and treat everything else as binding:

Copilot surface in the contractClaude Code equivalent
#runSubagent / runSubagent / agents:The Task tool with subagent_type: "aldc:<agent>"; one invocation carries everything inline (subagents are stateless)
#askQuestions / vscode/askQuestionsAskUserQuestion (main session only; a subagent returns its questions in its structured output)
handoffs: entries, and send: false on oneNo equivalent — the gate is yours to keep. In Copilot a handoff is a button the human clicks, and send: false additionally hands them the prompt to review before it is sent; the host supplies the approval. Claude Code delegates through the Task tool, with no click and no review step. So never auto-delegate: present your output, get explicit approval, and only then delegate or route to another role. The handoff's routing is carried by the plugin's role entry skills; its human gate is carried by this rule
@al-architect, @al-spec-agent, @al-conductor, @al-developer, @al-developer-reviewer, @al-triage, @al-presales, @al-agent-builder, @dredd/aldc:architect, /aldc:spec, /aldc:conduct, /aldc:develop, /aldc:review, /aldc:triage, /aldc:presales, /aldc:agent-builder, /aldc:audit (or claude --agent aldc:<agent>)
@workspace use <workflow>/aldc:<workflow> with dots replaced by dashes (al-spec.create -> /aldc:al-spec-create); already rewritten below
${input:Name} prompt variablesTake the value from $ARGUMENTS; ask through AskUserQuestion when missing. Already rewritten below as <Name from $ARGUMENTS>
execute / runInTerminal, AL compilation or symbol restoreDeveloper/Implementer: discovered official AL MCP mcp__al__al_compile / mcp__al__al_build / mcp__al__al_downloadsymbols, or an installed ALTool/AL-Go runner through Bash. Use the correct App/Test project; unavailable capabilities are never simulated. Publishing retains its separate human/CI gate and is not granted by this adapter
edit, read/readFile, search, #codebaseEdit/Write, Read, Grep/Glob
#changes, changes, search/changesRead-only git status / git diff through Bash only where granted; otherwise read the caller-supplied diff artifact or return the missing evidence request
read/problems, al_get_diagnostics, #testFailureDiscovered mcp__al__al_getdiagnostics for the explicit project, or actual compiler/test output. Diagnostics are not evidence of a fresh compile or executed tests. No result: record not-run / unavailable
al-symbols-mcp/*, upstash/context7/*, microsoft-learn/*, microsoft-docs/*Tools named mcp__al-symbols-mcp__*, mcp__context7__*, mcp__microsoft-docs__* (or the mcp__plugin_aldc_… form). A server that is not loaded is unavailable; do not simulate it
sshadowsdk.al-lsp-for-agents/*, #usages, semantic definition/reference queriesClaude LSP with the existing AL LSP for Agents companion; discover the actual operations and project context first. VS Code tool identifiers are not Claude tool names
ms-dynamics-smb.al/*, vscode.mermaid-chat-features/*VS Code tool identifiers do not exist here. Use only a separately discovered Claude capability; never rename community tools as Microsoft tools
vscode/memory, vscode/*Not available; keep state in the canonical .claude/plans/ artifacts of the project
todoTodoWrite for in-session tracking; durable state stays in .claude/plans/
"load skill-x"The Skill tool (aldc:<skill-name>) or read ${CLAUDE_PROJECT_DIR}/.claude/skills/<skill-name>/SKILL.md
.github/instructions/*.instructions.md (applyTo)${CLAUDE_PROJECT_DIR}/.claude/rules/*.md (paths:); /aldc:al-initialize copies them to the project's .claude/rules/ for auto-apply in the main session; inject inline for subagents exactly as the contract says
.github/skills/, .github/plans/…, docs/templates/${CLAUDE_PROJECT_DIR}/.claude/skills/, .claude/plans/… (project-owned, aldc.yaml -> plans.root), ${CLAUDE_PROJECT_DIR}/claude-plugin/docs/templates/; already rewritten below
python … runtime helpers, --aldc-rootPaths already point at ${CLAUDE_PLUGIN_ROOT}; use python or python3, whichever exists (stdlib only)
aldc.yaml${CLAUDE_PROJECT_DIR}/aldc.yaml when the project has one, otherwise ${CLAUDE_PROJECT_DIR}/claude-plugin/aldc.yaml

Read ${CLAUDE_PROJECT_DIR}/claude-plugin/docs/claude-al-tooling.md for this surface’s LSP/MCP bindings, then ${CLAUDE_PROJECT_DIR}/.claude/skills/skill-migrate/references/cli-al-tools.md for the shared role/evidence contract. The Claude guide supersedes older capability-availability examples, never role responsibilities or human gates.

Workflow: Generate Agent Task Integration Code

Generates production-ready AL code for agent task integration. This prompt does not contain pattern knowledge — it applies the patterns from skill-agent-task-patterns.

Load skill first: skill-agent-task-patterns (8 patterns A–H, SDK codeunits, API availability matrix, OnPrem-only restrictions, workarounds).

Step 1 — Gather context

Before generating code, determine:

  1. Agent name and prefix — read from app.json or ask the developer
  2. Object ID range — check existing objects in app/ for the next available IDs
  3. Which pattern(s) — ask or infer from the request:
    • "I need a Public API" → Pattern A
    • "Add a button to send work to the agent" → Pattern B (calls A)
    • "Trigger agent on posting/releasing" → Pattern C (calls A)
    • "Agent needs to process files" → Pattern D (combine with A/B/C)
    • "Continue an existing task" → Pattern E (verify AddToTask availability against the matrix)
    • "Run code only in agent context" → Pattern G/H
    • "Force human review" → Warning annotation workaround (matrix: SetRequiresReview OnPrem-only)
  4. ExternalId format — convention {PREFIX}-{No.} (e.g. LEAD-001, SO-1001)
  5. Target page/table — which page extension or event subscriber is needed?

Step 2 — Verify availability

Before writing any code, check each method against the API Availability Matrix in skill-agent-task-patterns. Any method marked OnPrem-only or "Not in 17.0" requires the documented workaround.

Step 3 — Generate code

For each requested pattern:

  1. Search the codebase for existing agent objects (Setup table, Public API, enums) to reuse
  2. Generate AL objects following the pattern from the skill, substituting:
    • {Agent} → actual agent name/prefix
    • {id} → actual object IDs
    • Record names, field names, enum values → actual project values
  3. Place files in the correct folder of the project structure:
    • Public API + Impl → app/Example/
    • Page extensions → app/Example/
    • Session events → app/Setup/TaskExecution/
  4. Verify generated code references correct enum values and codeunit names

Step 4 — Validate

  • All generated codeunits compile (correct parameter types, return types)
  • Public API has Access = Public, Implementation has Access = Internal
  • Event-driven task creation uses [TryFunction]
  • Business conditions checked BEFORE task creation (outside TryFunction)
  • Failures logged via Session.LogMessage
  • ExternalId follows the agreed format convention
  • Page extensions use AgentSetup.OpenAgentLookup() for agent selection
  • No OnPrem-only methods invoked from Extension scope
  • If AddToTask was needed, follow-up task workaround is in place

🛑 STOP — Review generated code with the developer.

Skills Evidencing

End with:

**Skills loaded**: skill-agent-task-patterns
**Patterns applied**:
- Pattern {X} — {file where applied}
- API matrix verified: {list any OnPrem/future methods that triggered workarounds}

Frequently asked questions

What does the Al Agent Task AI skill do?

Generate AL code for Business Central Agent SDK task integration. Applies the patterns from skill-agent-task-patterns to produce production-ready codeunits, page extensions, and event subscribers — verified against the runtime API availability matrix. ALDC workflow (Copilot prompt al-agent.task); invoke explicitly.

Why use Al Agent Task on TypingMind?

Because you install it once and use it with any model. Al Agent Task is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Al Agent Task in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/javiarmesto/ALDC-AL-Development-Collection/tree/main/.claude/skills/al-agent-task. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Al Agent Task?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Al Agent Task?

As many as you like. As long as a model supports skills, you can use Al Agent Task with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Al Agent Task AI skill free?

Yes. It is published on GitHub by javiarmesto under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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