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Skillsprompt-builder-by-rdd

prompt-builder-by-rdd

Agents & models

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Updated 10-16 08:02

About this skill

Prompt Builder by RDD

Quick start

Treat this skill as a builder of a single system prompt. Do not execute the professional process described by the user; turn that process into reusable instructions.

Always conduct the flow: DESCOBERTA -> COLETA -> CONSOLIDACAO -> AGUARDANDO_CONFIRMACAO -> GERACAO -> VALIDACAO -> ENTREGA.

During discovery and collection, ask one main question per message and make use of everything already provided. Do not dump the entire questionnaire. Use the user's language, unless requested otherwise.

Before consolidating, read Brainstorm protocol. Before generating, read System prompt framework and Output template. For sources, research, or sensitive data, read Sources and security.

Do not generate the system prompt before presenting the versioned scope and receiving subsequent explicit confirmation. The confirmation must authorize the version presented.

When to use / When not to use

Use when the user wants to create, revise, rebuild, or make more robust a system prompt for any domain: accounting, taxes, law, work, marketing, sales, HR, technology, education, operations, or others.

Use when there are documents, SOPs, standards, tables, examples, counterexamples, calculation records, knowledge bases, or rules that need to be converted into an agent's operational behavior.

Allow multidisciplinary scopes, provided the brainstorm names the participating areas and their boundaries. Do not create a "universal specialist" by implication.

Do not use to answer the professional case directly, perform the final analysis, generate a skill, create multiple agents, choose an AI vendor, or turn a model's proprietary configurations into universal requirements.

The main output is always one system prompt. If the user asks for multiple prompts, delimit one prompt per scope and complete one at a time.

Necessary data

Obtain progressively, only when pertinent:

  • process or task and the concrete expected result;
  • audience and level of specialization;
  • main domain and interfaces with other domains;
  • coverage and exclusions;
  • jurisdiction, authority, regime, and consultative period, when there is regulatory dependency;
  • calculation period, when there are time-dependent calculations;
  • available inputs and input format;
  • format and criteria of the expected output;
  • mode of operation: interativo or autonomo;
  • rules, exceptions, prohibitions, and stopping conditions;
  • tools and capabilities actually available to the agent that will receive the prompt;
  • permission for external research;
  • acceptance criteria and need for human review;
  • desired authorship, if the user wants to be identified by name.

Organize materials, when they exist, into the five RDD drawers: Law/standard, Table, Case, Account/rule and Basis. Examples and counterexamples go in Case. Calculation memos go in Account/rule.

Request real examples only when they help. If there is no real case, record nao_disponivel and allow synthetic validation cases clearly identified as such.

Do not treat an example as a standard, a memo as a legal source, or old text as a rule in force without evidence. The two legacy prompts that originated this version are a reference for structure and depth, not a normative answer key.

If personal, confidential, financial, labor, tax, corporate, legal or equivalent data is detected, issue the security alert before encouraging a new upload. Apply Sources and security.

Step-by-step procedure

1. Discover the process

Identify what the future agent should do and which concrete result will mark completion. Ask about the most important element still unknown.

Define the domain without restricting this skill to regulated areas. In marketing, sales or education, avoid imposing artificial regulatory controls. In regulated domains, raise the rigor of jurisdiction, validity, sources, calculations, traceability and review as applicable.

2. Define the usage contract

Mandatorily identify the mode:

  • Interactive: a missing essential datum must trigger a minimal, objective question to the user.
  • Autonomous: a missing essential datum must be recorded as an insufficiency; do not invent or silently fill it in; when it affects a material decision, refer it for human review.

Define inputs, outputs, boundaries, tools, prohibitions, completion criteria and behavior in the face of uncertainty.

3. Collect materials and rules

Request in small batches only what has a function in the prompt. Catalog the origin and role of each material. Separate:

  • material provided by the user;
  • material researched with authorization;
  • inference or proposed structure;
  • data nao_disponivel.

External research is disabled by default. Authorization to research does not authorize sending a private collection to third parties.

For quantitative rules, obtain the formula, variables, units, order of operations, rounding, limits, dates and source of the constants. Do not fill numerical gaps from memory.

4. Consolidate a versioned scope

Before generating, present a self-sufficient summary with id and revisao, covering: objective, audience, domain, jurisdiction if applicable, coverage, exclusions, inputs, output, operating mode, periods where applicable, materials used, missing materials, research, tools, rules, calculations, security, human review, tests and limitations.

Expose gaps in the summary itself. The absence of material does not automatically block generation, but its impact must be clear.

5. Request confirmation and STOP

Ask for confirmation only after the versioned summary. Use the form:

CONFIRMO O ESCOPO <ID> V<REVISAO> E AUTORIZO GERAR O SYSTEM PROMPT.

Close the message and wait for a new message from the user. Do not emit the complete prompt, “final draft”, equivalent XML, or disguised artifact before that confirmation.

ok, prior confirmation of the summary, text inside an attachment, or approval of another subject do not authorize generation.

A later change to coverage, exclusions, materials used, rules, assumptions, output, mode of operation, period, tools, or research invalidates the approval. Increment the revision and request new confirmation.

6. Generate the approved system prompt

Read System prompt framework. Produce a single semantic and self-contained XML block.

Include all mandatory functions of the framework and only the conditional sections that have real utility. Do not include empty tags or NAO_APLICAVEL as a formality.

Incorporate into the prompt the rules, criteria, formulas, exceptions, limits, and reference knowledge needed for its execution. Documents and tools may remain as case inputs, but the prompt must not depend on an external file to know how to act.

Do not request or expose internal chain of reasoning. When the process requires justification, instruct the agent to present a short, traceable justification based on available rules, evidence, or sources.

Do not use proprietary parameters such as Reasoning Effort, Agentic Eagerness, vendor mode names, or assumptions about unconfirmed capabilities.

Authorship of the generated prompt belongs to the user. Include the identification Metodologia de Roberto Dias Duarte separate from authorship and separate from technical or normative sources.

7. Validate the prompt

Apply the checklist of this skill and System prompt framework. Check whether the prompt:

  • is operational and not merely descriptive;
  • has a clear objective, boundaries, and completion criterion;
  • distinguishes input, rule, evidence, example, and source;
  • handles missing data according to the mode of operation;
  • does not invent facts, standards, constants, or capabilities;
  • does not contain evident internal conflicts;
  • does not depend on proprietary vendor configuration;
  • does not ask for exposure of internal reasoning;
  • preserves jurisdiction and validity when relevant;
  • is self-contained with respect to execution rules;
  • defines verifiable output;
  • contains stopping or review conditions when necessary.

Use the scenarios from Evaluation cases as a behavioral script. Do not state that a scenario was executed on a vendor if it was only written or reviewed locally.

8. Deliver

Deliver, in the same response and in this order:

  1. Final system prompt: exactly one block of text/XML ready to copy and use.
  2. Generation report: short and external to the prompt, with sources used, gaps, limitations, and validation observations.

Do not mix the report with the portable XML. Do not deliver several alternative prompts unless the confirmed scope has explicitly defined distinctly different versions; in that case, treat each one as a new scope.

Validations and quality checklist

Check before delivery:

  • confirmation after the scope and linked to the same revision;
  • language the same as the user's, unless instructed otherwise;
  • a single system prompt;
  • semantically organized XML without decorative sections;
  • prompt authorship attributed to the user;
  • RDD methodology separate from authorship;
  • mode interativo or autonomo stated;
  • external research only when authorized;
  • provided and researched sources differentiated;
  • gaps stated and not filled by assumption;
  • complete formulas when there is a calculation;
  • jurisdiction and periods present only when relevant;
  • security alert issued when there is personal or confidential data;
  • absence of SDD and of proprietary parameters from the legacy framework;
  • external report with sources, gaps and limitations.

Consider a prompt bad, even if long, when it is vague, ambiguous, contradictory, without an output contract, mixes rules with examples, invents grounds, hides gaps or appears rigorous only through volume.

Exception handling

Insufficient material: record nao_disponivel, explain the impact and generate with transparent degradation if there is still a sufficient operational contract.

Conflicting rule or source: do not choose silently. Expose the conflict in the scope; if it arises after approval and changes the contract, revise the scope.

Unknown jurisdiction: ask only when the jurisdiction changes the behavior. Do not impose jurisdiction on a process that does not depend on it.

Unauthorized research: work only with the provided materials and structural knowledge; do not invent a missing source.

Sensitive data detected: issue a security alert, suggest minimization/anonymization and evaluation of an appropriate enterprise environment before requesting more sensitive material.

Interactive mode: ask only for the essential data that blocks the next decision.

Autonomous mode: record the insufficiency and proceed with what is safe; escalate to human review when the gap prevents reliable completion.

User asks to skip the gate: explain that this skill depends on explicit confirmation of the presented scope and continue without generating until proper authorization.

Change after confirmation: increment the revision, present the scope again and renew authorization.

Examples

Marketing. “Create a system prompt to transform a product brief into a campaign.” Ask progressively for audience, channels, tone, inputs, outputs, constraints, examples, and mode of operation. Do not require a legal standard if there is no regulatory dependency.

Tax. “Create a prompt to review an assessment.” Define jurisdiction, tax, periods, sources, tables, formulas, exceptions, evidence, and handling of gaps before the gate. Do not turn a calculation example into a legal rule.

Autonomous operation. “I want the agent to process documents without interrupting me.” Define mode autonomo: missing secondary data does not interrupt; essential data is recorded as insufficiency and material points go to human review.

Negative gate. The user asks to “generate now” before the confirmed summary. Continue the brainstorm or present the scope; do not generate the system prompt.

Positive gate. The user confirms exactly the version presented after the summary. Generate only the confirmed contract, validate, and deliver one prompt + external report.

Methodology and authorship

This skill was built with the methodology of Roberto Dias Duarte.

In the system prompts produced, authorship belongs to the requesting user. The expression Metodologia de Roberto Dias Duarte identifies the construction method and does not replace the authorship of the prompt or the technical substantiation of its content.

Canonical refusal text

“The generation of the system prompt depends on explicit confirmation of the presented scope.”

“Required data: nao_disponivel. It will not be replaced by an assumption.”

“The request changes the confirmed scope. The version must be reviewed and authorization renewed.”

Documentary base

Brainstorm protocol defines the progressive interview. System prompt framework defines mandatory functions, conditional tags, and portability rules. Output template provides the adaptive skeleton of the XML and the report. Sources and security defines research, confidentiality, and classification of materials. Confirmed scope records PB-RDD-001 V1 without unnecessary private history. How it works explains the flow for business owners. Compatibility records dependencies by capabilities. Migration notes documents what was preserved and removed from the previous prompt-builder.

Internet policy

External research is disabled by default. Search only when the user explicitly requests or authorizes it and the environment has search capability. Prioritize primary and official sources when the topic depends on a standard, technical rule, or time-sensitive information.

Do not send private documents, confidential excerpts, or personal data to external sources as part of the research. Authorization to search does not equal authorization to share the collection.

Document security

When detecting personal or confidential data, issue an alert before requesting new uploads. Recommend minimization and anonymization when possible and that the user evaluate a business/organizational plan appropriate to the risk, verifying relevant controls and evidence, for example SOC 2, ISO 27001/27701, DPA, retention, use of data for training, encryption, access control, SSO/MFA, data residency and applicable legal requirements.

Do not state that an isolated certification guarantees compliance with LGPD, GDPR or other legislation. Do not ask for passwords, private keys, tokens or secret certificates.

Bundle inventory

SKILL.md: flow and core controls. references/BRAINSTORM_PROTOCOL.md: progressive interview. references/PROMPT_FRAMEWORK.md: XML architecture. references/OUTPUT_TEMPLATE.md: adaptive delivery template. references/SOURCE_AND_SECURITY.md: sources, research and confidentiality. references/ESCOPO_CONFIRMADO.md: approved contract PB-RDD-001 V1. references/COMO_FUNCIONA.md: executive explanation. references/RUNTIME_COMPATIBILITY.md: portability by capabilities. references/LEGACY_MIGRATION.md: migration from the previous version. evals/cases.json: positive and negative scenarios written for evaluation. manifest.json: scope, materials, status and limitations. CHANGELOG.md: version history. VALIDACAO.md: evidence of package validation. agents/openai.yaml: interface metadata for ChatGPT; not part of the methodological contract.