rfp compliance matrix builder
Converts RFPs into traceable compliance matrices with automated gap analysis and evidence mapping.
$5
Works with the AI Agents you already use
Claude Code
Cursor
Codex CLI
Muse
Dots+21 moreClaude CodeCursorCodex CLIMuseDots
Manus
Grok
Grok Bot+18 agentsrfp compliance matrix builder
Example session with this skill installed
Review the attached RFP text and company_facts.yaml. Build a compliance matrix, flag any SLA conflicts, and suggest a response priority plan.
- Read your context and instructions
- Compiled the rfp compliance matrix
I have analyzed the RFP against your approved company facts. I atomized 14 discrete obligations, identified one high-risk SLA conflict regarding uptime, and mapped 9 requirements to existing evidence.
RFP Compliance Analysis
| Source ID | Obligation / Requirement Text | Type | Mandatory | Response Action | Evidence ID | Accuracy Score | Flags | Status | Priority |
|---|---|---|---|---|---|---|---|---|---|
| RFP-1.1 | Provide SOC2 Type II report for the current year. | certification | MUST | provide | EV-SEC-01 | full | - | ready | Tier 1 |
| RFP-2.4 | System must support OAuth2 and SAML 2.0. | capability | MUST | provide | EV-FEAT-09 | partial | partial | pending | Tier 2 |
| RFP-5.2 | Guarantee 99.99% monthly uptime. | sla | MUST | clarify | EV-OPS-04 | none | conflict | blocked | Tier 4 |
| RFP-6.1 | Describe implementation timeline (max 90 days). | question | SHOULD | provide | EV-OPS-12 | full | - | ready | Tier 1 |
Flagged Items Summary
- Partial: RFP-2.4 (Facts confirm SAML 2.0 support, but OAuth2 support is not explicitly stated in the facts file).
- Conflict: RFP-5.2 (RFP requires 99.99% uptime; company facts EV-OPS-04 strictly limits guarantees to 99.95%).
Review Required: RFP-5.2 (Requires Solution Architecture review to determine if 99.99% is technically achievable for this specific bid).
Clarification Sheet
| Source ID | Proposed Question | Suggested Answer | Justification |
|---|---|---|---|
| RFP-5.2 | "Our standard enterprise SLA provides 99.95% uptime. Will the agency accept this in lieu of 99.99%?" | "Confirm 99.95% uptime." | Direct conflict with approved operational facts. |
Response Priority Plan
- Tier 1 (Quick Wins): RFP-1.1, RFP-6.1 (Full evidence available).
- Tier 2 (Complex): RFP-2.4 (Requires verification of OAuth2 roadmap).
- Tier 4 (Blocked): RFP-5.2 (SLA conflict must be resolved before drafting).
Next steps
- Send the Clarification Sheet to the Procurement Officer regarding the uptime requirement.
- Verify OAuth2 support with the engineering team to move RFP-2.4 to "ready".
- Assign the Tier 1 items to the lead writer for immediate drafting.
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About this skill
The problem
Manual RFP analysis is prone to human error, missed requirements, and accidental misrepresentation of company capabilities. Teams struggle to track every sub-clause against verified evidence, leading to high-risk bids or costly compliance failures.
What it does
- Atomizes raw RFP documents into discrete, testable obligations with unique source IDs.
- Cross-references every requirement against a "single source of truth" company facts file.
- Categorizes obligations by type (SLA, pricing, certification) and mandatory status.
- Performs gap analysis to identify missing evidence, partial matches, and direct conflicts.
- Generates a prioritized response plan and a formal clarification sheet for ambiguous items.
Frameworks & tools
Accepts RFP text and structured fact files in Markdown, YAML, JSON, or CSV formats.
Why this beats prompting it yourself
Basic prompting often leads to LLM "hallucinations" where the AI invents capabilities to please the user. This skill enforces a strict no-invention policy, requiring every claim to be mapped to a specific Evidence ID, ensuring 100% auditability and risk mitigation.
Use cases
- Building a traceability matrix for complex government or enterprise tenders.
- Identifying service level agreement (SLA) gaps before legal review.
- Automating the first pass of an RFP to filter for go/no-go decisions.
- Drafting neutral clarification questions for ambiguous technical requirements.
Known limitations
Requires a pre-existing, structured company facts file to serve as the source of truth. Cannot perform visual analysis of diagrams or complex pricing tables within PDF images.
Requires a structured company facts file (MD, YAML, JSON, or CSV). Does not process images or complex diagrams.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
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- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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