agilebydesign/abd-proposal-respond

Ace-Proposal-Respond

Respond to client proposals by converting materials to memory, creating a response strategy, and answering questions in small batches. Uses abd-context-to-memory for RAG. Same iterate-on-strategy pattern as abd-shaping. _

When to Apply

• User wants to respond to an RFP, Q&A, or proposal requirements
• Creating a response plan from proposal documents
• Answering client questions using memory (RAG)
• Iterating on strategy with corrections (DO/DO NOT)

Dependency: abd-context-to-memory

Run index_memory.py --path <proposal_source> before answering questions. Use search_memory.py "<query>" when drafting answers.

Process

1. Setup — Convert proposal to memory; create response folder; symlink
2. Strategy first — Analyze documents; propose response plan; save to response/strategy.md
3. Answer a few questions ONLY — 3–5 per batch; use RAG; get approval
4. Accelerators — When answers reference *See Appendix X (Name)*, define and accumulate in the Accelerator Table (add/update row: slide file, numbers, URL). When done, run build_appendix_deck.py to assemble the appendix deck.
5. Iterate — Corrections → add DO/DO NOT to strategy; re-run or proceed

Operations

| Operation | When | |-----------|------| | create_strategy | "Create strategy," "propose response plan," "analyze and plan" | | answer_questions | "Answer questions," "answer a few," "next batch" | | improve_strategy | "Correct," "fix that," "wrong" | | proceed_slice | "Proceed," "expand," "next slice" |

Scripts

• setup_response.py --proposal <folder> — Create response folder and symlink
• build_appendix_deck.py --table <Accelerator_Table.md> [--output <path>] — Assemble appendix deck from Accelerator Table (requires appendix_config.json or env)

Build

cd skills/abd-proposal-respond
python scripts/build.py