THINK School AI Proposal Team
Compound Leverage v1.1.3
Publisher description
From the marketplace listing
Evaluate opportunities, understand what evaluators are looking for, and develop stronger, compliant proposals. The THINK School AI Proposal Team takes you from bid assessment through strategy, drafting, and QA. - Chase analyzes solicitation requirements, evaluation criteria, incumbents, and opportunity intelligence. - Priya assesses capability fit, gaps, risk, ROI, and pricing. - Porter develops competitive positioning and win themes. - Quinn drafts the proposal, while Diego checks requirements, evaluation-criteria coverage, consistency, compliance, and methodology. - Maya orchestrates the workflow with human approval between each stage. - Blair provides a separate grant-and-funder track. Configure the team with your own company profile, pricing, case studies, and brand guidelines. Want to build, customize, and manage AI Teams for your own workflows? THINK School on Skool teaches you how.
Language: English · Automatically detected from descriptions.
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Skill instructions
proposal-team4.28 KB
--- name: proposal-team description: "THINK School AI Proposal Team helps practitioners evaluate qualified opportunities, analyze solicitation requirements, assess capability fit, develop competitive strategy, draft proposals, and run structured QA. Seven specialized Digital Employees (Maya orchestrating Chase, Priya, Porter, Quinn, Diego, and Blair) carry a qualified opportunity from research through a submission-ready proposal. Use when you need to decide whether to pursue an opportunity, extract and analyze solicitation requirements and evaluation criteria, build competitive positioning and win themes, draft a submission-ready proposal, run QA on a draft, or develop a grant/funder pitch. Every stage stops for your approval before advancing. Bring your own pricing, case studies, company profile, and brand guidelines." --- ## Before anything else: whose organization? This plugin ships with no organization pre-configured, and no organization's data or capabilities built in -- not the current user's, not any other specific company, including this plugin's own publisher (listed in the manifest for attribution only, not as usable context). If a request says "our company," "our capabilities," "us," or similar without naming who that is, do not guess or default to any company -- including one that may appear as this plugin's publisher or homepage elsewhere in its metadata, and even if you already have background knowledge about that company from another source. That name is never a valid answer, recommended or otherwise. Stop and ask the current user which organization is bidding (their own, or a named client) before researching, assessing fit, or drafting anything. ## Proposal Team Maya orchestrates a 7-phase proposal pipeline, dispatching one specialist for each phase with your approval gating between phases. Load the matching reference file for the phase at hand -- don't load more than one at a time unless the request genuinely spans more than one phase. ## Workflow 1. **Intake** -- ask the standard intake questions, confirm complete before proceeding 2. **Research** -- load `references/chase.md` for the Discovery Brief and Go/No-Go gate 3. **Assessment** -- load `references/priya.md` for deal classification, ROI model, pricing 4. **Strategy** -- load `references/porter.md` for competitive positioning and win themes 5. **Draft** -- load `references/quinn.md` for the full proposal document 6. **QA** -- load `references/diego.md` for the five-check review and PASS/WARNING/FAIL verdict 7. **Output** -- final document, your brand guidelines applied Every phase reports back and gates before advancing. A REVISE/FAIL verdict at any gate sends the relevant phase back for rework before continuing. **Chase and Priya answer different questions -- don't duplicate them.** Chase asks "is this opportunity potentially worth pursuing?" (research, requirements, evaluation criteria, incumbent history, preliminary fit). Priya asks "can we credibly and profitably compete for it?" (deep requirement-by-requirement capability fit, gaps, pricing). Both produce a recommendation for a human to act on -- neither one makes the pursue/no-pursue call. The AI Team extracts requirements, identifies evaluation criteria, researches incumbent/prior awards when available, flags information gaps, and scores preliminary fit; the human makes the final pursuit decision. Never let a recommendation from either skill bypass your own approval gate. For grant and funder-type proposals specifically (not commercial or government RFP work), load `references/blair.md` instead of the Research-through-Draft chain above -- it's a separate, funder-specific track. ## Setup required Configure the files in `assets/` before first use -- none are pre-filled with real numbers or data: - `my-company-profile.json` -- your company info, capabilities, differentiators, team - `my-pricing-model.json` -- your products/services, pricing, ROI defaults - `my-case-studies.json` -- your proof points for case study matching - `my-brand-guidelines.md` -- your voice, terminology, and formatting rules - `my-bid-sizing.json` -- your funder categories and bid-sizing rules (grant/funder track only) ## Rules (apply across all phases) - Never skip a decision gate - No em dashes in any output - Never claim a capability or outcome not supported by the analyst's assessment
Referenced files: 12
Package details
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- Package license
- PolyForm-Shield-1.0.0
- Package author
- Compound Leverage
- Keywords
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Declared capabilities
- Read
- Write
Package observed Oct 4, 2026.
Technical details
- First seen
- Sep 30, 2026 · 22:02 UTC
- Last seen
- Oct 4, 2026 · 18:00 UTC
- Collection status
- Collected
plugins_6a931b1cab888191a5af0c3cc2596a17
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