proposal-solution-architect
Skill4 starsChanged 3 months agoMITView on GitHub
Use this skill when analyzing a solicitation or white paper task to build requirements matrices, capability mappings, solution strategies, and architecture concepts. Reads from inputs/ and writes structured analysis to working/ files.
In this repository30 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
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- proposal-storyboardSkill
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The file
We split this skill into the rules it gives an agent
8 rules. About 0 are common, 7 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈7
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 22
Always read from these folders in order:
- Distinctive: line 29
Do not proceed to solution design until:
- Distinctive: line 34
If any required input is missing, explicitly state it.
- Very specific: line 37
Read all relevant source files from inputs/
- Distinctive: line 38
Create or update these working files:
- Distinctive: line 54
Do not invent facts
- Distinctive: line 59
Prefer tables over long narrative during analysis
- Distinctive: line 67
Position data capture as optional: When describing operational data feedback loops, frame data capture as an opportunity ("when operational …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Proposal Solution Architect Skill
Purpose
Transform source materials into a defensible technical solution and proposal-ready working structure.
When to Use
- A new solicitation or white paper is introduced
- Requirements must be extracted from source documents
- Capabilities must be mapped to requirements
- Architecture must be designed
- Gaps and assumptions must be identified
File Retrieval Rules
Always read from these folders in order:
inputs/00_priority/inputs/01_customer/inputs/02_yourCompany/inputs/03_teammates/inputs/04_patterns/
Do not proceed to solution design until:
- Solicitation is reviewed
- Requirements are extracted
- Customer constraints are understood
If any required input is missing, explicitly state it.
Workflow
- Read all relevant source files from
inputs/ - Create or update these working files:
working/requirement-matrix.mdworking/capability-matrix.mdworking/assumptions-and-risks.mdworking/solution-strategy.mdworking/architecture-concept.md
- Output in this order:
- Key requirements (table)
- Implied evaluation logic
- Capability mapping (table)
- Gaps and assumptions
- Recommended solution concept
- Architecture summary
Rules
- Do not invent facts
- Reuse repository material where applicable
- Identify missing proof points
- Flag weak differentiators
- Recommend architecture changes when needed
- Prefer tables over long narrative during analysis
- Write all outputs to working/ files on disk
Lessons Learned (SOCPAC Session)
- Structure challenges as problems, not solutions. Frame each challenge around what's broken ("Enterprise AI assumes connectivity — that fails in the Pacific") rather than what needs to happen ("Enable disconnected AI"). This is more compelling for evaluators.
- Three-challenge structure works well for white papers. Organize around 3 distinct gaps (e.g., on-device execution, model lifecycle, data feedback loop). Each maps to a solution section — clean 1:1 mapping, no overlap.
- Define the overview vs. detail boundary early. The overview section (e.g., "[Your Company]: The Tactical Operations Layer") should be a concise "what is it" intro (~200 words). Detail sections carry all the technical depth. Plan this split during architecture to prevent duplication.
- Include eval/benchmarking as a capability. Mission-representative evaluation — building statistically significant test sets that reflect warfighter needs — is a differentiator worth calling out in the architecture concept.
- Position data capture as optional. When describing operational data feedback loops, frame data capture as an opportunity ("when operational data is available, it can be leveraged") rather than a requirement. This avoids triggering security/privacy concerns.
- Identify boilerplate blocks early. Company description, CAGE/UEI/NAICS, past performance, distribution statements — flag these as reusable blocks in the architecture phase so writers don't reinvent them.
- Architecture graphics must pass 8.5×11 print legibility. Anticipate that diagrams will embed at full-column width (6.5") in the proposal — every label, axis tick, and component name must be readable at ≥10pt rendered. The
proposal-graphicsskill enforces font-size minimums during rendering; the architect's job is to keep the architecture concept simple enough that 10pt-readable labels actually fit. If a tier has 12 components each requiring 4 lines of text, the architecture is too dense — simplify before handoff to graphics. Seeproposal-graphicsSKILL.md §"Legibility for 8.5×11 proposal embedding" for the canvas + embed sizing rule.
Requirement Matrix Format
| ID | Requirement | Source | Explicit/Implicit | Response Approach | Capability Source | Gap/Risk |
Capability Matrix Format
| Req ID | Needed Capability | Your Company's Contribution | Partner Contribution | Evidence Source | Gap |
Architecture Output Format
- Mission objective
- Core components
- Interfaces and integrations
- Data flows
- Control/governance layers
- Deployment model
- Differentiators
- Risks
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