Ask Consultant logo

Ask Consultant

Community
babamba2
ask-consultant

Direct operational Q&A with a SAP module consultant agent. Auto-routes the question to the matching sap-{module}-consultant and answers against the configured SAP environment (version, industry, country, active modules).

Overview

Publisherbabamba2
Repositorysuperclaude-for-sap
Skill nameask-consultant
Stars
69
Forks
26
Bundled files
2
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by babamba2 on GitHub. Read the source before you install it.

Installation

Install the Ask Consultant 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/babamba2/superclaude-for-sap/tree/main/skills/ask-consultant
  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/babamba2/superclaude-for-sap.git /tmp/superclaude-for-sap
mkdir -p .claude/skills
cp -r /tmp/superclaude-for-sap/skills/ask-consultant .claude/skills/ask-consultant
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ask Consultant 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 Ask Consultant 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 Ask Consultant 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.

SC4SAP Ask Consultant

Single entrypoint for asking a SAP module consultant agent an operational question. The skill auto-selects the right consultant(s) from the question text + project config, honors the configured SAP environment, and returns a faithful answer — no code generation, no object creation, just the consultant's judgment.

<Response_Prefix> Every response triggered by this skill MUST begin with [Model: <main-model> · Dispatched: <sub-summary>] per ../../common/model-routing-rule.md § Response Prefix Convention. </Response_Prefix>

<Phase_Banner> Multi-phase skill. Before each Agent(...) dispatch (including every parallel consultant spawn and the optional synthesis pass), emit ▶ phase=<id> (<label>) · agent=<name> · model=<Opus|Sonnet|Haiku> per ../../common/model-routing-rule.md § Phase Banner Convention. Resolve the dispatch mode first per ../../common/model-dispatch-mode.md: auto (default) uses the model below/in the rule; user-defined asks the user Opus / Sonnet / Haiku (recommended one first) before each dispatch group. </Phase_Banner>

<Team_Mode> When module routing produces ≥ 2 consultants, Step 4 doubles as teamMode Round 1. If Round 1 POSITIONs diverge (per team-mode.md § Divergence check), escalate to Rounds 2-3 and use the teamMode synthesis variant instead of Step 5 legacy synthesis. Single-consultant questions and aligned Round 1 → legacy synthesis (Step 5) unchanged. See team-mode.md for orchestration + shared task list layout + response prefix variant. Base protocol: ../../common/team-consultation-protocol.md. </Team_Mode>

<Use_When>

  • User says "ask consultant", "ask {module}", "consultant", "SD 컨설턴트", "MM 컨설턴트", "물어봐", "자문", "consult", etc.
  • User has an operational / configuration question that does NOT require code generation or MCP writes.
  • User needs cross-module advice that fans out to 2-3 consultants.
  • User wants to sanity-check a config choice before running /sc4sap:create-program. </Use_When>

<Do_Not_Use_When>

  • User wants to create code / objects — use /sc4sap:create-program or /sc4sap:create-object.
  • User wants to analyze a runtime error — use /sc4sap:analyze-symptom.
  • User wants to review existing code quality — use /sc4sap:analyze-code.
  • User wants IMG customizing table data extraction — refuse per common/data-extraction-policy.md. </Do_Not_Use_When>

<Session_Trust_Bootstrap> MANDATORY — runs as Step 0 before the consultant dispatch.

Invoke /sc4sap:trust-session with parent_skill=sc4sap:ask-consultant so the consultant agent's read-only MCP calls (SearchObject, GetTable, GetPackage, GetWhereUsed, etc.) proceed without prompting.

  • If .sc4sap/session-trust.log already has a line within the last 24h, skip silently.

Full spec: see ../trust-session/SKILL.md. </Session_Trust_Bootstrap>

<Environment_Context> MANDATORY — the consultant answers against the project's configured SAP environment, not generic best-practice. Before dispatching, load:

  • .sc4sap/config.json → sapVersion (ECC / S4 On-Prem / S4 Cloud Public / S4 Cloud Private), abapRelease, industry, country, activeModules
  • .sc4sap/sap.env → SAP_URL, SAP_CLIENT, SAP_LANGUAGE, SAP_INDUSTRY, SAP_COUNTRY, SAP_ACTIVE_MODULES (as fallback)

Pass these to the consultant via the dispatch prompt so its answer reflects the actual landscape. If any key is missing, ask the user before dispatching — do NOT let the consultant invent assumptions.

The consultant agent's Mandatory_Baseline (Tier 1 + Tier 2 per ../../common/context-loading-protocol.md) ensures it loads spro-lookup.md, customization-lookup.md, active-modules.md at session start and reads only the configs/{MODULE}/*.md file(s) the question needs. </Environment_Context>

<Module_Routing> Map the user's question to the target module(s). Priority:

  1. Explicit mention: "MM 물어봐" / "ask SD" / "FI 컨설턴트" → dispatch that consultant directly.
  2. Keyword inference: map keywords to modules (PO/EKKO/EBELN → MM; invoice/BKPF/BSEG → FI; sales order/VBAK → SD; cost center/KOSTL → CO; MRP/production order/AFKO → PP; WBS/PROJ → PS; maintenance order → PM; inspection lot → QM; cash management/treasury → TR; payroll/infotype → HCM; warehouse/bin → WM; freight order → TM; InfoObject/DataSource → BW; sourcing/Ariba Network → Ariba; dump/transport/kernel → BC).
  3. Multi-module: if 2-3 modules match with similar signal strength, dispatch all in parallel. Example: "MM PO가 FI에 어떻게 전기되는지" → dispatch MM + FI in parallel; the skill then composes the answer.
  4. Unclear: ask the user which module first — one question, one round.

Supported consultants (15 total):

  • Module: sap-sd-consultant, sap-mm-consultant, sap-fi-consultant, sap-co-consultant, sap-pp-consultant, sap-ps-consultant, sap-pm-consultant, sap-qm-consultant, sap-tr-consultant, sap-hcm-consultant, sap-wm-consultant, sap-tm-consultant, sap-bw-consultant, sap-ariba-consultant
  • Basis: sap-bc-consultant </Module_Routing>

<Workflow_Steps> Per-step model allocation (the main thread follows the session model — frontmatter model: inherit, because it judges divergence and reviews the synthesis; Agent dispatches carry their own model):

  1. Trust bootstrap — § <Session_Trust_Bootstrap>. (main · skill-to-skill)
  2. Environment load — read config.json + sap.env; surface resolved values on the FIRST turn only (one line: SAP: <version> · <industry> · <country> · active: <modules>). (main thread)
  3. Module routing — apply § <Module_Routing>. If ambiguous, ask one question and stop. (main thread)
  4. Consultant dispatch — one Agent(...) per resolved module (parallel in a single message when 2–3 modules match). Emit phase banner per dispatch:
    ▶ phase=4 (consultant-<MODULE>) · agent=sap-<module>-consultant · model=Opus
    Dispatch shape:
    Agent({
      subagent_type: "sc4sap:sap-<module>-consultant",   // frontmatter alias `opus` (tracks the newest Opus)
      description: "<MODULE> consultation — <topic>",
      prompt: <user question + environment context + expected format>
    })
    teamMode variant: when N ≥ 2, Step 4 doubles as Round 1 of teamMode — use the Round 1 spawn shape in team-rounds.md § Round 1 (inlined charter + teamMode=true; each consultant returns a POSITION block ahead of its answer and the lead persists it to the run directory — no team_name).
  5. Synthesis (conditional — only when ≥ 2 consultants replied) — dispatch sap-writer with model: "sonnet" override. Writer's base model is Haiku (pure formatting); Sonnet override gives the light cross-domain reasoning needed to detect agreement / disagreement between consultant answers without jumping to Opus. Emit banner:
    ▶ phase=5 (synthesis) · agent=sap-writer · model=Sonnet
    Dispatch shape:
    Agent({
      subagent_type: "sc4sap:sap-writer",
      model: "sonnet",   // override base Haiku — synthesis needs light reasoning
      description: "Cross-module synthesis — <modules>",
      prompt: """
        Synthesize the following consultant answers for the user question.
        Identify shared points, flag disagreements (with a one-line "WHY they differ" note),
        and produce a cross-module summary. Do NOT re-answer the question — only compose
        from the supplied consultant outputs.
    
        User question: <question>
        Environment: <sapVersion> · <industry> · <country> · modules: <list>
    
        Consultant answers:
        <MODULE_A>: <answer_a>
        <MODULE_B>: <answer_b>
        [...]
      """
    })
    teamMode variant: if Round 1 POSITIONs diverged (per team-rounds.md § Divergence check), do NOT run the legacy synthesis above — follow team-rounds.md Rounds 2-3 then team-mode.md § Synthesis (task-list–driven writer dispatch). On single-consultant case: SKIP Step 5 entirely — main thread just forwards the consultant's answer to Step 6.
  6. Return & follow-up — review the synthesis against the consultant answers first (identifiers, what each consultant actually claimed; correct and note mismatches — writers do misstate), then present the final answer (single-consultant: verbatim; multi-consultant: synthesis output as the body + per-module subsections). Offer follow-up paths: /sc4sap:create-program (if the answer leads to a new build), /sc4sap:program-to-spec (if user wants the existing asset documented), /sc4sap:analyze-code (if quality review needed). (main thread)

No writes: this skill never calls Create* / Update* / Delete* / Activate* / CreateTransport. If the consultant's answer suggests a change, the user must run a separate creation / modification skill.

No row extraction: GetTableContents and GetSqlQuery are NOT used. Schema / DDIC reads are fine (GetTable, GetStructure, GetDataElement, GetDomain, SearchObject). </Workflow_Steps>

<Output_Format> Return the consultant's answer verbatim, prefixed with the consultant identity and the environment context it used:

[Model: <main-model> · Dispatched: Opus×<n> (<consultant names>)]

🧭 Consultant: sap-<module>-consultant
🌐 Environment: <sapVersion> · <industry or "—"> · <country or "—"> · active modules: <list>

<consultant's faithful answer>

---
💡 Next steps (optional):
- /sc4sap:create-program — if this leads to a new build
- /sc4sap:program-to-spec — to document an existing asset
- /sc4sap:analyze-code — to review existing code

For multi-module dispatches, the 🧭 Consultant line lists all names, the body leads with the sap-writer synthesis (Sonnet) — shared points, disagreements, cross-module summary — followed by one verbatim subsection per consultant.

Dispatch-summary examples in the prefix:

  • Single consultant: [Model: <main> · Dispatched: Opus×1 (sap-mm-consultant)]
  • Multi-consultant: [Model: <main> · Dispatched: Opus×2 (sap-mm-consultant, sap-fi-consultant), Sonnet×1 (sap-writer synthesis)]
  • Multi-consultant teamMode: [Model: <main> · Dispatched: Opus×2 (sap-mm-consultant, sap-fi-consultant), Sonnet×1 (sap-writer team-synthesis) · Team: 2 members × 2 rounds] </Output_Format>

<Related_Skills>

  • /sc4sap:compare-programs — complementary when the consultant's answer references existing variants.
  • /sc4sap:analyze-cbo-obj — complementary when the consultant's answer depends on knowing what custom assets already exist. </Related_Skills>

<MCP_Tools_Used>

  • SearchObject, GetObjectInfo — existence checks as the consultant works
  • GetPackage, GetPackageContents — CBO scope confirmation
  • GetTable, GetStructure, GetDataElement, GetDomain, GetView — DDIC metadata
  • GetWhereUsed — call-graph queries
  • NEVER: GetTableContents, GetSqlQuery, any Create* / Update* / Delete* / Activate* </MCP_Tools_Used>

Task: $ARGUMENTS

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ask Consultant AI skill do?

Direct operational Q&A with a SAP module consultant agent. Auto-routes the question to the matching sap-{module}-consultant and answers against the configured SAP environment (version, industry, country, active modules).

Why use Ask Consultant on TypingMind?

Because you install it once and use it with any model. Ask Consultant 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 Ask Consultant in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/babamba2/superclaude-for-sap/tree/main/skills/ask-consultant. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ask Consultant?

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 Ask Consultant?

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

Is the Ask Consultant AI skill free?

Yes. It is published on GitHub by babamba2 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇