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Re-tailors one raw past performance citation from a contractor PP library into evaluator-ready form for a specific…
Re-tailors one raw past performance citation from a contractor PP library into evaluator-ready form for a specific federal RFP, in one pass. Produces three deliverables: a 3-4 page tailored citation in 16-section canonical structure with customer- vocabulary alignment; a Section M crosswalk table with REQ ID flow from the Compliance Matrix Builder; and a Relevance Self-Score per FAR 15.305(a)(2) on Size, Scope, and Complexity (Same / Similar / Somewhat Similar / Not Similar bands). Auto-detects agency archetype (DoD/IC, Civilian Mission, Mission-Support/GSA) and tunes vocabulary. Enforces no-fabrication on contract numbers, dollar values, POC names, dates, and outcomes. Use when the user says "past performance citation tailor", "tailor PP citation", "re-tailor past performance", "PP citation skill", "citation tailoring", or "evaluator-ready PP". Enforces HIGH-TRUST disclaimer, recency window with YELLOW flag, CPARS-not-public proxy rule, no FOUO/CUI/classified in intake.
Ships as one download · past-performance-citation-tailor.zip · 14 files
A redacted example of what this tool produces — so you can judge the quality before you buy.
Redacted, illustrative example. Names, agencies, and figures are fictional placeholders.
This is a trimmed, representative example of the three deliverables the skill returns in one pass: Part 1 (tailored 16-section citation), Part 2 (Section M crosswalk), and Part 3 (Relevance Self-Score per FAR 15.305(a)(2)). The HIGH-TRUST disclaimer and the anti-fabrication framing shown below are reproduced verbatim from the skill's source.
HIGH-TRUST DISCLAIMER
This citation is a tailored draft based on pasted raw citation data. Verify all contract numbers, dollar values, customer POC names, dates, and outcomes against source documents. Proposal manager review required before submission. No FOUO/CUI/classified content accepted in intake.
Solicitation: SOL-25-R-0042 Agency Archetype (calibrated vocabulary): Civilian Mission Recency Window Applied: 3 years Page: 1 of 4
Environmental Data Modernization & Mission Data Quality (internal name: USGS Water Data Pipeline)
Department of Commerce / NOAA — Office of Ocean Observations (current pursuit customer; prior citation customer is Dept. of the Interior / USGS — see Section 12)
Delivery · Download
Download the zip, unzip it into your Claude skills folder, and invoke it by name. The bundled README includes a one-line verification step to confirm it loaded.
Runs on your existing Claude subscription — no extra setup.
HIGH-TRUST discipline. Where this tool produces pricing, compliance, or past-performance artifacts, FAR/DFARS guardrails and "FOR INTERNAL ESTIMATE USE — NOT A PROPOSAL PRICE" disclaimers are embedded in the output. It does not replace a qualified pricer, counsel, or color-team review.
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Paste Section L and Section M of a federal RFP.
Autonomously simulate Shipley Phase 7 color-team reviews (Pink ~30% / Red ~70% mock-SSEB / Gold ~95% exec sponsor)…
Contract Number: [REDACTED] · Vehicle / IDIQ: GSA MAS (IT) · Contract Type: FFP
2022-03 — 2025-02 (option years exercised: 3 of 3) — IN WINDOW (no YELLOW flag)
TCV: $6.4M FFP · ACV: $2.1M (base year) · Obligated to date: $6.4M
Prime (100% of total contract value)
Northwind delivered the customer's "mission-critical environmental data quality" objective across 14 ingest feeds.
Data Ingest and Normalization — Reduced data-quality exceptions by 71% over the base year by standing up schema-on-read validation across glider, buoy, and satellite feeds. Activities ordered by relevance to the NOAA pursuit.
Continuous Data Quality Assurance — Sustained 99.6% feed availability through automated gap detection and lineage tracking.
| Role | Name | Clearance | Certifications |
|---|---|---|---|
| Data Engineering Lead | J. Rivera | Secret | AWS Solutions Architect |
| ISSO | [VERIFY: TBD] | Secret | CISSP |
[REDACTED], Program Manager, USGS Water Data Program · Phone: [REDACTED] | Email: [REDACTED] [VERIFY currency before submission]
This citation is relevant to SOL-25-R-0042 because: (a) Size — $6.4M FFP vs estimated $24M–$31M for the current pursuit. Partial — current pursuit is larger; agency convention treats larger-prior-than-cited as relevant, but the size-up is flagged. (b) Scope — Same NAICS 541512; same mission area (environmental data engineering); same Section M data-quality sub-factor language. Match. (c) Complexity — Same contract type (FFP); same technical-challenge set (multi-source ingest, lineage, FISMA Moderate ATO sustainment). Match.
CPARS Performance Assessment Reports are not publicly available; the offeror references the following proxies in lieu of CPARS ratings:
This citation is a tailored draft based on pasted raw citation data. Verify all contract numbers, dollar values, customer POC names, dates, and outcomes against source documents. Proposal manager review required before submission. No FOUO/CUI/classified content accepted in intake.
Missing-Field Callout: ISSO name, MTTD baseline surfaced as [VERIFY: TBD]. Source
from contract files / CPARS PAR / closeout before submission.
| M Factor | M Sub-Factor | M Verbatim Language | Citation Section | Citation Excerpt | REQ IDs |
|---|---|---|---|---|---|
| Factor 2 — Past Performance | M.2.1 Recency | "within the last three (3) years" | §4 POP | "2022-03 — 2025-02 (IN WINDOW)" | TBD — run Tool #36 first |
| Factor 2 — Past Performance | M.2.2 Relevance | "same size, scope, and complexity" | §12 Relevance | "Same NAICS 541512; same mission area" | TBD — run Tool #36 first |
| Factor 2 — Past Performance | M.2.3 Quality | "demonstrated data quality outcomes" | §10 Outcomes | "Reduced data-quality exceptions by 71%" | TBD — run Tool #36 first |
| Factor 3 — Management | M.3.1 Key Personnel | "qualified data engineering lead" | §9 Key Personnel | "Data Engineering Lead — J. Rivera" | TBD — run Tool #36 first |
GAPs Summary: 1 Section M sub-factor not addressed by this citation.
REQ ID Flow Status: REQ IDs not available — run Tool #36 (Compliance Matrix Builder)
first, then re-run with {{tool_36_compliance_matrix}} provided.
| Dimension | Raw Citation | Current Pursuit | Match Strength | Band Indicator |
|---|---|---|---|---|
| Size | $6.4M FFP; ~25 FTE | ~$27M est.; ~70 FTE est. | Partial — current ~4x larger | counts toward Partial |
| Scope | NAICS 541512; USGS; environmental data | NAICS 541512; NOAA; environmental data | Match | counts toward SAME |
| Complexity | FFP; multi-source ingest; FISMA Mod ATO | FFP; multi-source ingest; FISMA Mod ATO | Match | counts toward SAME |
OVERALL RELEVANCE BAND: SIMILAR
Band Decision Rationale: 2 Matches (Scope, Complexity) + 1 Partial (Size) → SIMILAR. Size differential flagged: the prior is smaller than the current pursuit by roughly 4x; the size-down weakness is noted rather than papered over.
Recency Status: POP end 2025-02 · Window 3 years · Status: IN WINDOW.
Government-Determines-Official Disclaimer: "This is a self-score. Government evaluators determine the official relevance per FAR 15.305(a)(2). Skill provides defensible self-score for proposal-shop calibration."
Recommendation: Submit with caveat. Relevance band is SIMILAR; size differential flagged. Consider strengthening Section 12 narrative on the smaller-prior precedent. Pair with companion citations covering the M.3.2 Transition sub-factor.
The skill reports only what is observed in the pasted raw citation and RFP material. It never
invents contract numbers, dollar values, customer POC names, dates, quantified outcomes, or
CPARS ratings. Every missing field surfaces as [VERIFY: TBD]. The skill never claims a CPARS
rating (Exceptional / Very Good / Satisfactory / Marginal / Unsatisfactory) when CPARS data is
absent. This discipline is grounded in the False Claims Act (31 USC 3729) and 18 USC 1001.
Tool #13 (Section L/M Crosswalk) · Tool #17 (CPARS Narrative Polisher) · Tool #36 (Compliance Matrix Builder) · Tool #37 (Proposal Outline Generator) · Tool #38 (Executive Summary) · Tool #39 (Red Team Consistency Checker) · Tool #48 (PP Library Plugin, deferred).