Execution agents were spawning blind — no input files, no knowledge of what predecessor tasks accomplished. This adds three capabilities: 1. summary column on tasks table — completeTask() reads the finishing agent's result.message and stores it on the task record 2. dispatchNext() gathers full initiative context (initiative, phase, sibling tasks, pages) and passes it as inputContext so agents get .cw/input/task.md, initiative.md, phase.md, and context directories 3. context/tasks/*.md files now include the summary field in frontmatter so dependent agents can see what prior agents accomplished
215 lines
9.5 KiB
TypeScript
215 lines
9.5 KiB
TypeScript
/**
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* Shared prompt instructions reused across agent types.
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* Each constant is wrapped in a descriptive XML tag for unambiguous
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* first-order / second-order delimiter separation per Anthropic best practices.
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*/
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export const SIGNAL_FORMAT = `
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<signal_format>
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As your final action, write \`.cw/output/signal.json\`:
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- Done: \`{ "status": "done" }\`
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- Need clarification: \`{ "status": "questions", "questions": [{ "id": "q1", "question": "..." }] }\`
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- Unrecoverable error: \`{ "status": "error", "error": "..." }\`
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</signal_format>`;
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export const INPUT_FILES = `
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<input_files>
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Read \`.cw/input/manifest.json\` first, then read listed files from \`.cw/input/\`.
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**Assignment Files**
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- \`initiative.md\` — frontmatter: id, name, status
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- \`phase.md\` — frontmatter: id, name, status; body: description
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- \`task.md\` — frontmatter: id, name, category, type, priority, status; body: description
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- \`pages/\` — one per page; frontmatter: title, parentPageId, sortOrder; body: markdown
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**Context Files (read-only)**
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Present when \`contextFiles\` exists in manifest:
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- \`context/phases/\` — frontmatter: id, name, status, dependsOn; body: description
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- \`context/tasks/\` — frontmatter: id, name, phaseId, parentTaskId, category, type, priority, status, summary; body: description
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Completed tasks include a \`summary\` field with what the previous agent accomplished.
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Do not duplicate or contradict context file content in your output.
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</input_files>`;
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export const ID_GENERATION = `
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<id_generation>
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When creating new entities (phases, tasks, decisions), generate a unique ID by running:
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\`\`\`
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cw id
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\`\`\`
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Use the output as the filename (e.g., \`{id}.md\`).
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</id_generation>`;
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export const DEVIATION_RULES = `
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<deviation_rules>
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1. **Typo in assigned files** → Fix silently
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2. **Bug in files you're modifying** → Fix if < 10 lines, otherwise note and move on
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3. **Missing dependency** → Check context files for another agent's work; \`cw ask\` if yes, create if within scope
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4. **Architectural mismatch** → STOP. Signal "questions" with what you found vs. what the task assumes
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5. **Ambiguous requirement** → STOP. Signal "questions" with the ambiguity and 2-3 concrete options
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6. **Task wrong or impossible** → STOP. Signal "error" explaining why
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Never silently reinterpret a task.
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</deviation_rules>`;
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export const GIT_WORKFLOW = `
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<git_workflow>
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You are in an isolated git worktree. Other agents work in parallel on separate branches.
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- Stage specific files with \`git add <file>\`, not \`git add .\`
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- Never force-push
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- Run \`git status\` before committing
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</git_workflow>`;
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export const CODEBASE_EXPLORATION = `
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<codebase_exploration>
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Before beginning your analysis, explore the actual codebase to ground every decision in reality.
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**Step 1 — Read project docs**
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Check for CLAUDE.md, README.md, and docs/ at the repo root. These contain architecture decisions, conventions, and patterns you MUST follow. If they exist, read them first — they override any assumptions.
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**Step 2 — Understand project structure**
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Explore the project layout: key directories, entry points, config files (package.json, tsconfig, pyproject.toml, go.mod, etc.). Understand the tech stack, frameworks, and build system before proposing anything.
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**Step 3 — Check existing patterns**
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Before proposing any approach, search for how similar things are already done in the codebase. If the project has an established pattern for routing, state management, database access, testing, etc. — your decisions must build on those patterns, not invent new ones.
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**Step 4 — Use subagents for parallel exploration**
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Spawn subagents to explore different aspects of the codebase simultaneously rather than reading files one at a time. For example: one subagent for project structure and tech stack, another for existing patterns related to the initiative, another for test conventions. Parallelize aggressively.
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**Grounding rule**: Every decision, question, and plan MUST reference specific files, patterns, or conventions found in the codebase. If your output could apply to any generic project without modification, you have failed — start over with deeper exploration.
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</codebase_exploration>`;
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export const CONTEXT_MANAGEMENT = `
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<context_management>
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When reading multiple files or running independent commands, execute them in parallel rather than sequentially. After each commit, update your progress file (see Progress Tracking).
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</context_management>`;
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export const TEST_INTEGRITY = `
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<test_integrity>
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1. **Never mirror implementation logic in assertions.** Hardcode expected values from requirements, don't recalculate them.
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2. **Never modify existing test assertions to make them pass.** If a test expects X and your code produces Y, fix your code. Exception: your task explicitly changes expected behavior.
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3. **Never skip or disable tests.** No \`it.skip()\`, \`.todo()\`, or commenting out. If unfixable, signal error.
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4. **Each test must be independent.** No shared mutable state, no order dependence.
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5. **Run the full relevant test suite**, not just your new tests.
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</test_integrity>`;
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export const SESSION_STARTUP = `
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<session_startup>
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1. \`pwd\` — confirm working directory
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2. \`git status\` — check for unexpected state
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3. Run test suite — establish green baseline. If already failing, signal "error". Don't build on a broken foundation.
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4. Read \`.cw/input/manifest.json\` and all listed input files
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</session_startup>`;
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export const PROGRESS_TRACKING = `
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<progress_tracking>
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Update \`.cw/output/progress.md\` after each commit:
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\`\`\`markdown
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## Current Status
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[What you just completed]
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## Next Steps
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[What you're working on next]
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## Blockers
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[Any issues or questions — empty if none]
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\`\`\`
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Survives context compaction — read this first if your context is refreshed.
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</progress_tracking>`;
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const PLANNING_MODES = new Set(['plan', 'refine']);
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export function buildInterAgentCommunication(agentId: string, mode: string = 'execute'): string {
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if (PLANNING_MODES.has(mode)) {
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return `
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<inter_agent_communication>
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Your agent ID: **${agentId}**
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You are in a planning mode (\`${mode}\`). You define high-level structure, not implementation details. Real-time coordination is almost never needed.
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If you are truly blocked on information only another running agent has:
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\`\`\`
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cw ask "<question>" --from ${agentId} --agent-id <TARGET_AGENT_ID>
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\`\`\`
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This blocks until the target answers. Use it as a last resort — not for approach validation.
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</inter_agent_communication>`;
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}
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return `
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<inter_agent_communication>
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Your agent ID: **${agentId}**
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## Commands
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| Command | Behavior |
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|---------|----------|
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| \`cw listen --agent-id ${agentId}\` | Blocks via SSE until one question arrives. Prints JSON and exits. |
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| \`cw ask "<question>" --from ${agentId} --agent-id <TARGET>\` | Creates a conversation and blocks until the target answers. Prints the answer to stdout. |
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| \`cw answer "<answer>" --conversation-id <ID>\` | Answers a pending question. Prints confirmation JSON. |
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## Listener Lifecycle
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Set up a background listener so you can answer questions from other agents while working.
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\`\`\`bash
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# 1. Start listener, redirect to temp file
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CW_LISTEN_FILE=$(mktemp)
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cw listen --agent-id ${agentId} > "$CW_LISTEN_FILE" &
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CW_LISTEN_PID=$!
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# 2. Between work steps, check for incoming questions
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if [ -s "$CW_LISTEN_FILE" ]; then
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# 3. Parse the JSON, answer, clear, restart
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CONV_ID=$(cat "$CW_LISTEN_FILE" | jq -r '.conversationId')
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QUESTION=$(cat "$CW_LISTEN_FILE" | jq -r '.question')
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# Read code / think / answer with specifics
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cw answer "<your answer>" --conversation-id "$CONV_ID"
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> "$CW_LISTEN_FILE"
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cw listen --agent-id ${agentId} > "$CW_LISTEN_FILE" &
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CW_LISTEN_PID=$!
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fi
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# 4. Before writing signal.json — kill listener and clean up
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kill $CW_LISTEN_PID 2>/dev/null
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rm -f "$CW_LISTEN_FILE"
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\`\`\`
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## Targeting
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- \`--agent-id <id>\` — You know exactly which agent to ask (e.g., from manifest or a previous conversation).
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- \`--task-id <id>\` — Ask whichever agent is currently running that task.
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- \`--phase-id <id>\` — Ask whichever agent is working in that phase. Use when you need something from an adjacent phase but don't know the agent ID.
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## When to Ask
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- You need an **uncommitted interface contract** — an export path, method signature, type definition, or schema that another agent is actively creating and hasn't pushed yet.
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- You are about to **modify a shared file** that another agent may also be editing, and you need to coordinate who changes what.
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## When NOT to Ask
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- The answer is in the **codebase** — search first (\`grep\`, \`find\`, read the code).
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- The answer is in your **input files or context files** — read them again before asking.
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- You are **not actually blocked** — if you can make a reasonable decision and move on, do that.
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- You want to **confirm your approach** — that's not what inter-agent communication is for. Make the call.
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<example label="bad">
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"How should I structure the API response for the users endpoint?"
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This is a design decision you should make based on existing codebase patterns.
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</example>
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<example label="good">
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"What will the export path and method signature be for createUser() in packages/shared/src/api/users.ts? I need to import it."
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This asks for a specific uncommitted artifact another agent is building.
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</example>
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## Answering Questions
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When you receive a question, be **specific**. Include the actual code snippet, file path, type signature, or schema. Vague answers force a follow-up round-trip.
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Check for incoming questions between commits — not after every line of code.
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</inter_agent_communication>`;
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}
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