Creating domain-specific AI skills

Generic AI assistants can answer anything vaguely—but when you need accuracy in a specific domain (legal, sales, product, or document-heavy workflows), you need domain-specific skills. A skill that knows contract terminology, pipeline stages, or how to use your PDF summaries correctly will outperform a one-size-fits-all prompt. This guide covers creating domain-specific AI skills: scoping the domain, sourcing knowledge, and connecting to document and PDF workflows so US professionals get reliable, in-context behavior.

Summary Define a narrow domain (e.g. contract review, sales pipeline, or document triage), gather authoritative knowledge (glossaries, playbooks, and doc formats), and bake it into the skill via instructions and examples. When the skill knows your document workflow—e.g. summaries from iReadPDF—it can interpret and suggest next steps correctly instead of guessing.

Table of Contents

• Why Domain-Specific Skills Beat Generic Ones
• Scoping the Domain
• Sourcing and Structuring Knowledge
• Document and PDF Domain Knowledge
• Writing Instructions and Examples
• Integrating with Existing Tools
• Example Domains
• Conclusion

Why Domain-Specific Skills Beat Generic Ones

A generic assistant might say "this looks like a contract" or "you might want to follow up." A domain-specific skill can say "Clause 4.2 limits liability to 12 months; flag for legal" or "Opportunity is in Negotiation; next step: send revised SOW per playbook."

• Precision. Domain skills use the right terms and recognize domain patterns (e.g. auto-renewal clauses, pipeline stages, doc statuses). That reduces vague or wrong suggestions.
• Consistency. When the skill follows a playbook or checklist (e.g. contract review steps, doc triage order), behavior is consistent and auditable.
• Safe use of documents. A skill that knows "summary from iReadPDF includes key_points and optional clauses" can reason over that structure instead of treating it as free text. That's critical when documents drive decisions.
• Trust. US professionals in regulated or high-stakes domains need the assistant to stay within scope and cite domain sources (e.g. "per contract summary" or "per pipeline rules"), not hallucinate.

For legal, sales, product, and document-heavy workflows, domain-specific skills turn the assistant into a reliable teammate instead of a generic chatbot.

Scoping the Domain

Keep the domain narrow enough that you can describe and maintain it.

• Define boundaries. "Contract review for NDAs and MSAs" is scoped; "legal" is not. "Sales pipeline for B2B SaaS" is scoped; "sales" is not. "Document triage and summarization workflow" is scoped; "documents" is not. Write 2–3 sentences: what's in scope, what's out.
• List key entities and actions. For legal: parties, clauses, obligations, dates. For sales: stages, deal fields, next steps. For docs: doc types, statuses, summary format, next actions. That list becomes the vocabulary the skill uses.
• Call out edge cases. Note what the skill should not do (e.g. "does not give legal advice" or "does not change pipeline stage without user confirmation"). Document those in the skill so the model and users know the limits.

When document workflows are in scope, include: doc types you handle (e.g. contracts, reports), statuses (pending, summarized, signed), and where summaries come from (e.g. iReadPDF) and what format they use. That's your doc-domain scope.

Sourcing and Structuring Knowledge

Domain knowledge can come from playbooks, glossaries, past decisions, and document specs.

| Source | What to extract | How the skill uses it | |--------|-----------------|------------------------| | Playbooks / runbooks | Steps, checklists, when to escalate. | Instructions: "Follow this sequence; suggest next step from playbook." | | Glossaries | Terms and definitions. | So the skill uses terms correctly and doesn't confuse similar concepts. | | Past examples | Anonymized "input → output" or "situation → decision." | Few-shot examples in the prompt or a separate examples file. | | Document specs | Summary format, status values, required fields. | So the skill parses and reasons over doc summaries (e.g. from iReadPDF) correctly. | | Policies | Approval rules, retention, what not to do. | Guardrails and "out of scope" behavior. |

Structure this in a way the skill can consume: a short "domain primer" in the system prompt, a glossary as a table or list, and 3–5 examples per common task. For document workflows, the spec for "document summary format" and "doc status" should be explicit so the skill knows how to read and suggest based on that data.

Document and PDF Domain Knowledge

When the domain involves documents and PDFs, the skill should know how docs are produced and what structure to expect.

1. Summary format. Document that your PDF pipeline (e.g. iReadPDF) outputs: e.g. title, summary (1–2 sentences), key_points (array), optional fields (clauses, dates). The skill's instructions should say: "When you see a document summary, use key_points and optional clauses for analysis; do not assume information not in the summary."
2. Doc types and statuses. List doc types (contract, report, board deck) and statuses (to summarize, summarized, to sign, signed). The skill can then suggest "Summarize in iReadPDF first" vs "Ready to sign" based on status.
3. Next-step rules. Domain rules like "after summarization, compare key clauses to playbook" or "after signed, update CRM and archive." The skill suggests these as next steps instead of generic "follow up."
4. Safety. "Never treat the summary as the full legal document; for binding decisions, refer to the source PDF." Bake that into the skill so it doesn't over-interpret.

When the skill's knowledge includes your actual document workflow and summary format, it stays aligned with how you work and avoids suggesting steps that don't match your tools.

Writing Instructions and Examples

Domain knowledge reaches the model through instructions and examples.

• System or skill instructions. Start with role and scope: "You are a contract-review assistant. You work only with document summaries and metadata; you do not give legal advice." Then add: vocabulary (use these terms), format (output in this structure), and doc handling ("Document summaries follow this schema; use them to suggest review steps and flag clauses."). If summaries come from iReadPDF, say so so the skill can reference "per summary" in answers.
• Structured knowledge blocks. Include a short glossary (term → definition) and a "document summary schema" section so the model knows field names and meaning.
• Few-shot examples. For each main task (e.g. "suggest next step for this deal," "flag contract risks from summary"), provide 2–3 examples: input (summary or context) and desired output. Use realistic but anonymized data. For doc workflows, examples might show "Given this iReadPDF summary, suggest: summarize / sign / escalate."
• Negative examples. One or two "do not do this" examples help: e.g. "Do not suggest signing without noting the liability cap in the summary."

Iterate: run the skill on real cases, see where it drifts or misuses terms, and add instructions or examples to fix it.

Integrating with Existing Tools

Domain-specific skills should plug into the tools you already use.

• Document pipeline. If you summarize PDFs with iReadPDF, the skill should expect that output format and optionally reference it by name ("Summaries from iReadPDF include …"). Integration can be: skill reads from memory/cache that your pipeline updates, or skill receives summary as injected context. No need to reimplement summarization inside the skill.
• CRM, task app, calendar. The skill may need to read or suggest updates to CRM fields, tasks, or calendar. Define a small set of allowed actions (e.g. "suggest stage change" or "suggest task") and have the skill output structured suggestions for a human or downstream automation to apply. That keeps the skill in scope and avoids it directly changing systems without guardrails.
• Templates and specs. If you use templates for contracts or reports, the skill can reference "per template X" or "required sections: …". Store template names and required sections in the skill's knowledge so it can check completeness or suggest next section.

For US professionals, integration means the domain skill fits into existing doc and workflow tools instead of replacing them.

Example Domains

Legal / contract review (document-heavy)

• Scope: NDA and MSA review using document summaries only; no legal advice.
• Knowledge: Glossary (e.g. indemnity, limitation of liability), summary schema (from iReadPDF), checklist of clauses to flag.
• Skill behavior: Given a contract summary, flag clauses that need review, suggest "compare to playbook," and say "refer to source PDF for full text."

Sales pipeline

• Scope: B2B pipeline; suggest next steps and stage transitions based on deal data and playbook.
• Knowledge: Stage definitions, required fields per stage, next-step playbook, optional doc context (e.g. "SOW summarized in iReadPDF").
• Skill behavior: Given deal + optional doc summary, suggest next step and whether to attach summary to CRM.

Document triage and workflow

• Scope: Prioritize and route documents; suggest summarize / sign / file based on type and status.
• Knowledge: Doc types, statuses, summary format (iReadPDF), rules (e.g. "contracts: summarize then decide").
• Skill behavior: Given doc queue and status, suggest order and next action; reference "summarize in iReadPDF" when appropriate.

Conclusion

Creating domain-specific AI skills means scoping the domain, sourcing and structuring knowledge (including document summary format and workflow), and writing clear instructions and examples. When the skill knows your document pipeline—e.g. summaries from iReadPDF—and your domain vocabulary and rules, it can interpret docs and suggest next steps accurately for US professionals in legal, sales, and document-heavy workflows.

Ready to give your domain skill a solid document foundation? Use iReadPDF for consistent PDF summarization—then document that format in your skill so it can reason over summaries and suggest the right next steps.