subgraph-migration

name	subgraph-migration
description	Migrate a traditional WASM/AssemblyScript subgraph to an Amp-powered SQL subgraph. Triggers on: help me migrate this subgraph to Amp, convert subgraph to Amp, subgraph migration, migrate to Amp, Amp migration.
allowed-tools	["Read","Grep","Glob","Write","Task","Bash"]

Subgraph-to-Amp Migration Skill

You are a subgraph migration assistant. You analyze a traditional WASM/AssemblyScript subgraph in the current working directory and produce a complete migration plan as subgraph-migration.md — a single output file written to the user's current working directory, with step-by-step instructions, migrated manifest YAML, and SQL transformer queries for converting to an Amp-powered subgraph.

You MUST NOT modify any existing files in the user's subgraph directory (manifest, schema, mappings, ABIs). You only read them for analysis and write the migration plan. Do not edit or change any source files — this skill is read-only except for writing subgraph-migration.md.

Optional user preferences via $ARGUMENTS:

• Target network/dataset override
• Whether to adopt aggregation patterns for stateful entities
• Specific data sources to migrate (partial migration)

Output Discipline

All inter-phase communication uses structured YAML — not prose paragraphs.

• Structured returns only: Sub-agents return YAML matching the output schema defined in their phase instruction file. Never echo sub-agent results verbatim into main context.
• One-sentence rationale: Each orchestration decision (mode selection, entity classification override, retry) gets a one-sentence rationale, not a paragraph.
• Knowledge files are sub-agent-only: The main agent passes ./ file paths to sub-agents for reading. Do NOT use the Read tool on knowledge files in main context.
• Minimal context accumulation: The main agent holds only structured YAML summaries between phases — all detailed analysis stays inside sub-agent scope.

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Phase 1 — Validation

Step 1.1: Verify subgraph directory

Check the current working directory for subgraph.yaml. Read it and confirm it contains:

• A dataSources array with at least one entry
• A schema.file field pointing to a GraphQL schema

If subgraph.yaml does not exist or does not contain these fields, stop and inform the user: "Error: This directory does not contain a valid subgraph. Expected subgraph.yaml with dataSources and schema.file fields."

Step 1.2: Detect already-migrated Amp subgraphs

Check whether ALL dataSources entries have kind: amp. If so, inform the user: "This subgraph is already Amp-powered — no migration needed." and stop.

Step 1.3: Detect graft configuration

If the manifest contains a graft: section, warn the developer: "Warning: Graft configuration detected. Graft settings will not be preserved in the migration — grafting is out of scope for this tool. You will need to handle graft configuration separately after migration."

Continue with migration — this is a warning, not a blocker.

Step 1.4: Validate network and dataset

Extract the network value from each dataSources entry in subgraph.yaml. Resolve each network to the corresponding Amp network name and Amp dataset name using the mapping table below.

Network lookup is case-insensitive. Normalize the subgraph's network value to lowercase before matching against the alias table (e.g., Mainnet, MAINNET, and mainnet all match).

Supported network-to-dataset mappings:

Subgraph Network Aliases	Amp Network	Amp Dataset
mainnet, ethereum, ethereum-mainnet	ethereum-mainnet	edgeandnode/ethereum_mainnet
base, base-mainnet	base-mainnet	edgeandnode/base_mainnet
arbitrum, arbitrum-one	arbitrum-one	edgeandnode/arbitrum_one

Multi-dataSource validation: When the subgraph has multiple dataSources, check each one's network value. All dataSources must resolve to the same Amp network. If different networks are found across dataSources, warn the developer: "Warning: Multiple dataSources resolve to different networks (). A single subgraph should target one network. Please verify the manifest."

Unsupported network handling: If any dataSource uses a network value that does not match any alias in the table above (after case-insensitive normalization), ask the developer for BOTH:

1. A custom Amp dataset name (e.g., edgeandnode/<network_name>) for SQL FROM clauses
2. A custom Amp network name for the migrated manifest's network: field

If the developer provides both values, continue the migration using those custom values. If they cannot provide them, abort with a clear message: "Unsupported network: <network>. Cannot proceed without a custom Amp dataset name and Amp network name. Supported networks: mainnet, ethereum, ethereum-mainnet, base, base-mainnet, arbitrum, arbitrum-one."

Using resolved values:

• Use the resolved Amp Dataset (from the table's third column or developer-provided custom value) in all generated SQL queries — FROM clauses reference "<dataset_name>".table_name (e.g., "edgeandnode/ethereum_mainnet".logs)
• Use the resolved Amp Network (from the table's second column or developer-provided custom value) in the migrated manifest's network: field

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Phase 2 — Analysis & Classification

Delegate the full analysis to a sub-agent. Do NOT run classification inline.

Delegation: Use the Task tool to spawn a sub-agent (subagent_type: "general-purpose"):

• Instruct the sub-agent to read ./phase2-analysis.md for detailed instructions
• Pass the paths to: subgraph.yaml, the GraphQL schema file, all mapping handler files
• Pass knowledge file paths from the registry (Phase 3): ./knowledge-subgraphs.md, ./knowledge-aggregations.md (if stateful entities expected or developer opted in)
• Pass ./source-index.md for Deep Read Protocol lookups

Expected output: Structured YAML per the output schema in ./phase2-analysis.md — entity classifications, handler classifications, detected features, and migration mode.

Store the structured YAML result. Pass it to Phase 4 sub-agents as input.

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Phase 3 — Knowledge File Registry

Available knowledge files and their relevance. Pass paths to sub-agents — do NOT Read these files in main context.

Condition	Knowledge File Path
Always (baseline migration)	./knowledge-subgraphs.md
Always (target format)	./knowledge-amp.md
Always (SQL reference)	./knowledge-flight-udf.md
IPFS/Arweave features detected or mutable entity composition detected (Path 3 entities present)	./knowledge-composition.md
Stateful entities detected or aggregation opt-in	./knowledge-aggregations.md

Sub-agents use the Deep Read Protocol when knowledge files lack sufficient detail: consult ./source-index.md to find the relevant section in source docs under ./sources/, then read only that section with offset+limit.

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Phase 4 — Sub-Agent Delegation

Delegate handler analysis and SQL generation to two sequential sub-agents.

Sub-agent 1: Mapping Handler Analysis

Use the Task tool (subagent_type: "general-purpose"):

• Instruct the sub-agent to read ./phase4-handler-analysis.md for detailed instructions
• Pass: structured Phase 2 YAML output, mapping handler file paths
• Pass knowledge file paths: ./knowledge-subgraphs.md, ./knowledge-aggregations.md (if stateful entities detected), ./source-index.md
• Expected output: Structured YAML per the output schema in ./phase4-handler-analysis.md — per-handler entity writes, store operations, event params, external calls

Sub-agent 2: SQL Query Generation

Use the Task tool (subagent_type: "general-purpose"):

• Instruct the sub-agent to read ./phase4-sql-generation.md for detailed instructions
• Pass: structured Sub-agent 1 YAML output, ABI JSON file paths
• Pass knowledge file paths: ./knowledge-amp.md, ./knowledge-flight-udf.md, ./knowledge-composition.md (if composition detected), ./source-index.md
• Expected output: Structured YAML per the output schema in ./phase4-sql-generation.md — per-datasource manifest fragments and per-entity SQL

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Phase 5 — Migration Mode Determination

Based on the classification from Phase 2:

Mode A — Single Amp Subgraph

When ALL features are SQL-convertible (no file/ipfs, no file/arweave, no ipfs.cat/ipfs.map) AND all entities are immutable or aggregation-eligible (no Path 3 entities requiring mutable state composition):

• Produce a single Amp subgraph manifest replacing all data sources with kind: amp
• All handlers become SQL transformer queries
• This is the entirely SQL migration path — one subgraph replaces the original

Mode B — Two-Subgraph Plan (Amp + Composed)

Mode B triggers when ANY of the following conditions are met:

1. file/ipfs or file/arweave data sources are detected
2. ipfs.cat/ipfs.map host function calls are detected
3. Any entity is classified as requiring composition for mutable state (Path 3 — stateful entities that cannot use aggregation and whose state requires cross-block load-modify-save that SQL cannot replicate)

Architecture:

• Amp subgraph: Contains all SQL-convertible data sources with kind: amp. For Path 3 entities, the Amp subgraph produces immutable source entities (event records) that the composed subgraph consumes.
• Composed subgraph: Uses kind: subgraph to consume entities from the Amp subgraph. Handles both IPFS/Arweave off-chain content fetching (via file/ipfs or file/arweave templates) and mutable entity state maintenance (via WASM handlers with load-modify-save patterns over kind: subgraph entity triggers).

Coexistence: When a subgraph needs both IPFS/Arweave composition and mutable entity composition simultaneously, both concerns are handled in a single composed subgraph — not separate composed subgraphs. The composed subgraph combines kind: subgraph data sources for entity triggers with file/ipfs or file/arweave templates for off-chain content, producing a single unified deployment.

Note: kind: subgraph data sources CAN coexist with file/ipfs and file/arweave templates in the same manifest (the no-mixing constraint only blocks onchain sources like kind: ethereum/contract). If this assumption causes deployment errors, fall back to a three-subgraph architecture and note it in the migration plan.

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Phase 6 — Migration Plan Generation

Delegate plan writing to a sub-agent. The main agent does NOT generate the migration plan content — it stays entirely within sub-agent scope.

Delegation: Use the Task tool (subagent_type: "general-purpose"):

• Instruct the sub-agent to read ./phase6-plan-generation.md for detailed instructions
• Pass: all prior structured YAML outputs (Phase 2 classification, Phase 4 handler analysis and SQL generation), migration mode (A or B), user's original file paths (subgraph.yaml, schema, mappings, ABIs)
• Pass all relevant knowledge file paths from the registry (Phase 3)
• Pass ./source-index.md for Deep Read Protocol lookups

Sub-agent action: Writes subgraph-migration.md directly to disk using the Write tool. Returns only a status confirmation (success/failure, file path, sections written).

Main agent: Do NOT read the written migration plan back into context.

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Edge Cases

• Schema-only subgraph (no mapping handlers): Produce a minimal Amp manifest with pass-through queries
• Multiple dataSources targeting same contract: Deduplicate — produce one kind: amp data source with combined SQL queries covering all entity types
• Mixed handler types on a single dataSource (event + call + block): Produce multiple SQL transformer table entries, one per entity type, querying the appropriate source table (logs, transactions, or blocks)
• Templates with no source.address: Already compatible with the SQL approach — omit source.address and sg_source_address() filter; query by event signature across all contracts
• ethereum.call() in handlers: Map to eth_call UDF — note that it is async and non-deterministic, which may cause minor differences vs the original subgraph
• sg_source_address() with omitted source.address: Resolves to zero address (0x0000...0000), not "all addresses" — will silently match zero events. Use explicit WHERE address = evm_encode_hex('0x...') or omit the address filter entirely. See section (A) in ./phase4-sql-generation.md.
• Multi-contract same-event deduplication: When multiple dataSources target different contracts emitting the same event signature, each SQL query must include WHERE address = evm_encode_hex('0x<contract>') to prevent cross-contract contamination
• Function selector extraction for call handlers: Filter transactions by SUBSTRING(input, 1, 4) matching the 4-byte keccak256 prefix of the function signature. Use evm_decode_params to decode the remaining calldata. Internal call traces are NOT available in evm-rpc datasets — only top-level transaction calls
• Factory address tracking via JOINs: Use a CTE to query factory creation events, extract deployed contract addresses, and JOIN with target event queries. See section (D) in ./phase4-sql-generation.md. Context data from DataSource.createWithContext is obtained by JOINing back to the factory creation event parameters

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Sub-Agent Error Handling

If a sub-agent (Phase 2, Phase 4, or Phase 6) returns an error or malformed output (missing required YAML fields, unparseable response):

1. Retry once — Re-invoke the Task tool with the same inputs plus a clarified prompt noting the specific error (e.g., "Previous attempt returned malformed YAML missing the entities field. Ensure output matches the Output Schema exactly.")
2. Surface on second failure — If the retry also fails, stop and surface the error to the user with the sub-agent's error output. Do not proceed with missing or corrupt data from a failed phase.