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agent-handoffs

Agent parameter passing, memory files, and data handoffs between agents

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包含的文件(2)

  • SKILL.md7.8 KB
  • metadata.json1.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Agent Parameter Passing Guidelines

Core Principle

Agents are workflow-agnostic. They perform specific tasks regardless of which workflow invokes them.

Workflows pass parameters to agents to tell them:

  • Which workflow is running
  • What files to read (input)
  • What files to write (output)
  • Any workflow-specific context

Standard Parameters

All agents that work with memory files MUST accept these parameters:

interface AgentParameters {
  workflow: string;      // "create-module" | "add-operation" | "update-module"
  moduleId: string;      // "github-github" | "amazon-aws-s3"
  inputFile?: string;    // File to read from (optional if agent doesn't need input)
  outputFile: string;    // File to write to
}

Memory Path Construction

CRITICAL: Always use absolute paths for .localmemory to avoid issues when working from different directories.

# Get project root (choose method based on context)
PROJECT_ROOT="$(git rev-parse --show-toplevel)"

# Standard pattern - ALWAYS use absolute paths
MEMORY_PATH="${PROJECT_ROOT}/.claude/.localmemory/${workflow}-${moduleId}"

# Examples (where PROJECT_ROOT is your project's absolute path):
# ${PROJECT_ROOT}/.claude/.localmemory/create-module-github-github/
# ${PROJECT_ROOT}/.claude/.localmemory/add-operation-github-github/
# ${PROJECT_ROOT}/.claude/.localmemory/update-module-amazon-aws-s3/

For Bash Scripts

# Method 1: Using git (preferred if in git repo)
PROJECT_ROOT="$(git rev-parse --show-toplevel)"

# Method 2: Using script location (if you know the script depth)
PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../.." && pwd)"

# Always construct absolute paths
MEMORY_PATH="${PROJECT_ROOT}/.claude/.localmemory/${workflow}-${moduleId}"

For Agents (invoked by Claude)

Agents should always receive or construct absolute paths. When constructing paths in agent responses, use the working directory from the environment.

Reading Input Files

# Agent receives parameters
WORKFLOW="create-module"
MODULE_ID="github-github"
INPUT_FILE="phase-01-discovery.json"

# Get project root and construct absolute paths
PROJECT_ROOT="$(git rev-parse --show-toplevel)"
MEMORY_PATH="${PROJECT_ROOT}/.claude/.localmemory/${WORKFLOW}-${MODULE_ID}"
INPUT_PATH="${MEMORY_PATH}/${INPUT_FILE}"

# Read data
PRODUCT_PACKAGE=$(jq -r '.productPackage' "${INPUT_PATH}")
MODULE_PACKAGE=$(jq -r '.modulePackage' "${INPUT_PATH}")

Writing Output Files

# Agent receives parameters
OUTPUT_FILE="phase-02-scaffolding.json"

# Get project root and construct absolute paths
PROJECT_ROOT="$(git rev-parse --show-toplevel)"
MEMORY_PATH="${PROJECT_ROOT}/.claude/.localmemory/${WORKFLOW}-${MODULE_ID}"
OUTPUT_PATH="${MEMORY_PATH}/${OUTPUT_FILE}"

# Ensure directory exists
mkdir -p "${MEMORY_PATH}"

# Write data
cat > "${OUTPUT_PATH}" <<EOF
{
  "phase": 2,
  "name": "Module Scaffolding",
  "status": "completed",
  "timestamp": "$(date -u +%Y-%m-%dT%H:%M:%SZ)",
  ...
}
EOF

Agent Documentation Structure

❌ Wrong (Workflow-Specific)

## Responsibilities
- Create module structure for new modules
- Read from phase-01-discovery.json
- Write to phase-02-scaffolding.json

✅ Correct (Workflow-Agnostic)

## Responsibilities
- Create module directory structure
- Read parameters from input file
- Validate generated structure
- Write results to output file

## Required Parameters
- workflow: Workflow type
- moduleId: Module identifier
- inputFile: File containing parameters
- outputFile: File to write results

## Input File Structure
Expected fields in input file:
- productPackage: Product package name
- modulePackage: Module package name
- serviceName: Service name

Invocation Examples

From Workflow Documentation

### Phase 2: Module Scaffolding

**Agent:** @module-scaffolder

**Invocation:**
```bash
@module-scaffolder
Parameters:
  workflow: create-module
  moduleId: github-github
  inputFile: phase-01-discovery.json
  outputFile: phase-02-scaffolding.json

### Multiple Workflows Using Same Agent

**Create Module Workflow:**
```bash
@api-architect
Parameters:
  workflow: create-module
  moduleId: github-github
  inputFile: phase-01-discovery.json
  outputFile: phase-03-api-spec.json

Add Operation Workflow:

@api-architect
Parameters:
  workflow: add-operation
  moduleId: github-github
  inputFile: operation-spec.json
  outputFile: updated-api-spec.json

Same agent, different parameters!

File Naming in Workflows

Workflows specify exact file names based on their phase structure:

Create Module:

  • Phase 1: phase-01-discovery.json
  • Phase 2: phase-02-scaffolding.json
  • Phase 3: phase-03-api-spec.json
  • etc.

Add Operation:

  • Step 1: operation-definition.json
  • Step 2: api-spec-update.json
  • Step 3: implementation-plan.json
  • etc.

Update Module:

  • Step 1: operations-list.json
  • Step 2: update-plan.json
  • etc.

Agent Flexibility

Agents should be flexible about input structure:

// Agent reads what it needs
const productPackage = input.productPackage;
const modulePackage = input.modulePackage;

// If field doesn't exist, agent reports error
if (!productPackage) {
  throw new Error("Required field 'productPackage' missing from input file");
}

Workflow Responsibility

Workflows are responsible for:

  1. Creating memory directories
  2. Passing correct parameters to agents
  3. Ensuring output from one phase matches input expected by next phase
  4. Orchestrating agent sequence
  5. Error handling and recovery

Agents are responsible for:

  1. Accepting standard parameters
  2. Reading from specified input file
  3. Performing their specific task
  4. Writing to specified output file
  5. Reporting errors if parameters/input invalid

Benefits

✅ Reusability: Same agent works across multiple workflows ✅ Testability: Agents can be tested independently with different parameters ✅ Maintainability: Agent changes don't affect workflow structure ✅ Flexibility: New workflows can use existing agents ✅ Clarity: Clear separation of concerns

Anti-Patterns

❌ Hardcoding Workflow Type

# BAD
if [ "$WORKFLOW" == "create-module" ]; then
  # Special logic for create
fi

Agents should not have workflow-specific logic. If needed, workflows should pass different parameters.

❌ Hardcoding File Paths

# BAD - Relative path
INPUT=".claude/.localmemory/create-module-${MODULE_ID}/phase-01-discovery.json"

# BAD - Hardcoded workflow
INPUT="${PROJECT_ROOT}/.claude/.localmemory/create-module-${MODULE_ID}/phase-01-discovery.json"

# GOOD - Absolute path with parameters
PROJECT_ROOT="$(git rev-parse --show-toplevel)"
INPUT="${PROJECT_ROOT}/.claude/.localmemory/${WORKFLOW}-${MODULE_ID}/${INPUT_FILE}"

Always construct absolute paths from parameters.

❌ Hardcoding Phase Numbers

# BAD
echo '{"phase": 2, ...}'

Extract phase info from parameters or workflow context if needed.

Migration Guide

Old Style (Workflow-Specific)

**File:** `.claude/.localmemory/create-{module-id}/phase-02-scaffolding.json`

Read from: `.claude/.localmemory/create-{module-id}/phase-01-discovery.json`

New Style (Workflow-Agnostic)

**Input File:** Specified by workflow (e.g., phase-01-discovery.json)
**Output File:** Specified by workflow (e.g., phase-02-scaffolding.json)

**Example Paths:**
- Input: `.claude/.localmemory/{workflow}-{moduleId}/{inputFile}`
- Output: `.claude/.localmemory/{workflow}-{moduleId}/{outputFile}`

Summary

  • Agents receive parameters, not hardcoded values
  • Workflows control file naming and sequencing
  • Agents work across any workflow that provides correct parameters
  • Clear separation: workflows orchestrate, agents execute

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