version: "1.0.0" name: egm-bootstrap license: Apache-2.0 disable-model-invocation: true description: Bootstrap directory README.md files across a repository subtree.

EGM Peanuts and Hay Bootstrap (egm-bootstrap)

Overview

This skill automates the creation, correction, formatting, and correctness verification of Elephant-and-Goldfish Model (EGM) compliant README.md files across a directory tree. It establishes clear architectural contracts (interfaces, invariants, and side effects) for both human developers and AI assistants.

• Peanuts: Leaf-level Component Package READMEs containing specific file

contracts.

• Hay: Parent-level Repository Blueprints that roll up child interface

contracts into high-altitude indexes.

Delegation

A Goldfish runs in a fresh context with no conversation history. Spawn each subagent with your harness's subagent tool (Antigravity: invoke_subagent; Gemini CLI: subagents). Each subagent is defined in agents/<file>.md, and its frontmatter name (for example egm-zoom-out) is the subagent type to request where your harness registers named subagents. Otherwise spawn a general-purpose subagent and tell it to read that persona file first. Pass the prompt verbatim and wait for the report. If your harness cannot nest subagents, use direct dispatch instead of the synthesizer. See docs/harnesses.md. If your harness has no subagent tool, run the scout steps inline.

Inputs

• `path`: The target root directory path to bootstrap (Required).
• `is_worker`: Internal parameter. true if executing as a worker

Sub-Orchestrator (Optional, default: false).

• `sub_tree_root`: Internal parameter. The root path of the assigned

subtree partition (Optional).

• `target_filename`: Target contract filename to generate or update

(Optional, default: "README.md"). Supports alternate blueprint filenames such as "EGM.md" when pre-existing human-maintained READMEs must not be modified.

Execution Constraints (CRITICAL)

1. No Code Generation: You are strictly limited to documentation. Do not

write or refactor any functional source code.

1. VCS Isolation: Do not perform any version control commits (git commit,

git add). All filesystem changes must be written locally using standard file-writing tools. Tracking and submitting is deferred to the human user.

1. Temporary File Isolation: Parallel workers sharing the workspace must

perform all status tracking, check-pointing, and log writing in independent, worker-specific directories outside the project repository workspace.

1. Tool Usage (CRITICAL): Use your shell, file-reading, file-writing, and file-editing tools for directory discovery and contract/README

generation. Adhere to clean Markdown formatting directly during generation (standard headers, tables, and fenced code blocks). If a project markdown formatter (e.g. npx prettier --write) is explicitly configured in the repository, it may optionally be invoked.

1. Subagent Delegation: Spawn sub-orchestrator workers in parallel.
2. Mandatory Safety Gate (CRITICAL): If you discover more than 15

subdirectories, you MUST immediately request user approval (using a structured question tool, if your harness has one, or plain chat) before proceeding with full-tree execution or unbounded subagent spawning.

Workflow

Step 0: Ecosystem & Verification Discovery

1. Inspect the repository root for package/build manifests:

• Node.js / TypeScript: package.json -> npm test (or pnpm test / yarn test)
• Rust: Cargo.toml -> cargo test
• Go: go.mod -> go test ./...
• Python: pyproject.toml / pytest.ini / setup.py -> pytest
• C/C++ / Make: Makefile -> make test
• Bazel: BUILD / BUILD.bazel -> bazel test ...
• None found: <test-command>

1. Record as VerificationCommand to populate generated README contracts.

Step 1: Startup Branching Control

1. Check the is_worker input parameter.
2. If is_worker is true, jump directly to **Step 4: Sub-Orchestrator Worker

Flow** to process the assigned sub_tree_root.

1. If is_worker is false or unset, proceed as the Root Orchestrator to

Step 2: Incremental Scoping & Safety Gate.

Step 2: Incremental Scoping & Safety Gate (Root Orchestrator)

1. Incremental BFS Discovery: Map the target path tree level-by-level

(BFS) using a directory queue, listing one directory level at a time. (CRITICAL: never run a recursive search such as find or ls -R.)

• Preserve intermediate folder nodes.
• Ignore symbolic links to prevent infinite recursion.
• Ignore hidden/system directories (.git, .antigravity, node_modules,

venv, dist, build, third_party).

• Read .gitignore and .egmignore (if present) and ignore matching glob patterns.
• Preserve package and build manifests (package.json, Cargo.toml,

go.mod, pyproject.toml, Makefile, BUILD) in the discovery map to extract verification targets later.

1. Safety Gate & Unbounded Spawning Approval (CRITICAL): During the BFS

loop, if the total running count of discovered directories exceeds 15, immediately pause discovery and request user approval (using a structured question tool, if your harness has one, or plain chat) to warn the user and request approval for full-tree execution:

• question: "The target directory tree contains more than 15

subdirectories. This is a large execution scope. Do you want to proceed with full-tree bootstrapping?"

• options: `["Yes, proceed with full tree bootstrapping",

"No, abort execution"]`

• (CRITICAL: After requesting approval, you MUST wait for the user's

response before continuing or spawning any workers).

• If the user selects abort, terminate execution immediately.

1. Bottom-up Post-Pruning Pass: Once mapping is complete (and approved),

walk the mapped tree bottom-up (leaves to root). Filter out non-code and test-only directories:

• Source Code Files: Files matching recognized source code, schema, and

contract extensions:

• Systems & Compiled: .c, .cc, .cpp, .cxx, .h, .hh, .hpp,

.rs, .go, .zig, .lean

• Managed & Enterprise: .java, .kt, .scala, .cs, .fs
• Scripting & Dynamic: .py, .rb, .php, .lua, .sh, .bash
• Web & Mobile: .ts, .tsx, .js, .jsx, .mjs, .cjs, .swift,

.m, .dart

• Data & Schemas / IDLs: .sql, .proto, .graphql, .gql,

.thrift, .prisma

• Infrastructure / Declarative Code: .tf, .hcl, .cue

(Excludes build manifests, lockfiles, test fixtures, documentation, and generic data dumps like .csv, .tsv, .parquet).

• Test Directory Exclusion: Exclude directories containing exclusively

test code (e.g. named tests, testing, testdata, or containing only files matching *_test.*, *Test.*, test_*.*, or *.spec.*).

• Non-Code Filtering: Exclude any directory that contains no source code

files AND contains no subdirectories with code. Retain empty intermediate folders only if they have child directories that contain code.

1. Calculate the total count of pruned directories and maximum depth. Proceed

to Step 3: Execution Strategy Selection.

Step 3: Execution Strategy Selection (Root Orchestrator)

1. Direct Execution Strategy (Directory Count <= 5):

• If the total count of pruned directories is 5 or fewer, execute the bottom-up

documentation directly in the current thread.

• Jump to Step 4: Sub-Orchestrator Worker Flow (treating the Root

Orchestrator as the worker for the entire path), and then proceed to Step 5: Root Compilation & Termination.

1. Unbounded Parallel Subagent Swarm Strategy (Directory Count > 5):

• (CRITICAL: If Directory Count > 15, you MUST verify that you have

received explicit user approval before proceeding. If not yet approved, request approval immediately and wait for the user's response before spawning workers).

• Partition the discovery map into independent subtree branches using the

Adaptive Depth Partitioning Algorithm:

1. Set depth = 1.
2. Extract directory nodes from the discovery map located at the

current depth.

1. If the count of nodes at depth is between 3 and 5: select these

nodes as subtree partition roots.

1. If the count of nodes at depth < 3: increment depth (up to a max

of 3) and repeat step 2.

1. If the count of nodes at depth > 5: group the largest branches (by

total nested folder count) into 3-4 separate partitions, combine the remaining small branches into a single fallback partition subtree, and select these as partition roots.

1. Fallback: If depth reaches 3 and count is still < 3, select the

immediate children of the root (or fall back to sequential execution).

• Spawn Unbounded Sub-Orchestrators: For each partition subtree root,

use your harness's subagent tool to spawn a parallel worker:

• Subagent: egm-bootstrap-orchestrator (agents/bootstrap_orchestrator.md) (or a general-purpose subagent)
• Prompt: "Run egm-bootstrap with path=[path],

is_worker=true, sub_tree_root=[partition_root], target_filename=[target_filename]."

• Unbounded Execution: Spawn all Sub-Orchestrators in parallel without

artificial concurrency limits (as authorized by the user during the safety gate).

• Go idle and wait for all worker subagents to return their JSON subtree

index payloads. Jump to Step 5: Root Compilation & Termination.

Step 4: Sub-Orchestrator Worker Flow

1. Scout Registration: Use a read-only goldfish-explorer scout. Where your harness supports defining subagents at runtime, register it with:

• name: goldfish-explorer
• description: Read-only codebase explorer scout.
• system_prompt: >- You are a read-only codebase explorer. Your task is

to analyze the source files in the target directory and return a concise, factual summary. Do not write or modify any files. Return a JSON object containing the directory's public symbols (interface), invariants, and side effects matching schema: {"interface": [], "invariants": [], "side_effects": []}.

• enable_write_tools: false
• enable_subagent_tools: false

1. Post-Order Traversal: Walk the assigned sub_tree_root (or path) in

post-order (deepest leaves first). For each directory D:

• Correction & Modification Policy: Check if target_filename (default:

README.md) already exists in D.

• If target_filename exists, do not overwrite it completely. Instead,

read its existing content.

• Scout Scan Requirement: Whether target_filename exists or not,

always scan the source code using the goldfish-explorer scout for D to compile the true code symbol boundary.

• Legacy Extraction & Correction: If target_filename exists, call the

reasoning LLM with prompt: > "Analyze the following unstructured documentation content. Extract all public symbol names, classes, interfaces, invariants, and side effects. Format your response strictly as a JSON object matching the following schema: { \"interface\": string[], \"invariants\": string[], \"side_effects\": string[] }." Merge these extracted symbols with the scout's code symbols. Use your file-editing tool (or your file-writing tool) to correct and update the existing contract file to be EGM compliant while preserving developer notes and descriptions.

• Scout Spawning & Constraints: Spawn goldfish-explorer for D.

• Scout Constraints: Cap total data read per directory at **50,000

bytes. Read implementation and schema files up to 300 lines** per file. If directory size exceeds 50KB, select files using this priority:

1. Interface, schema, IDL, and header files (.h, .hh, .hpp,

.proto, .graphql, .gql, .thrift, .prisma, .sql schema/DDL definitions, interface classes) read completely.

1. Module entry points (main.*, index.*, lib.*, mod.*,

__init__.py, or files matching directory name) read up to 300 lines.

1. Production source and configuration files sorted alphabetically

read up to 300 lines until cap.

1. Test files are completely ignored.

• Test File Filtering: In hybrid package directories containing both

production and test files, ensure the scout filters out test files (*_test.*, *Test.*) and ignores their symbols.

• Child Fault Tolerance: If the scout fails or times out, log a

warning, use placeholder values ["(Details pending/documentation failed)"], and continue execution.

• Parent Context Propagation: When processing a parent directory P,

retrieve the compiled interface summaries of its immediate child subdirectories.

• Propagation Heuristics:

1. If the child was documented during this run, retrieve its public

interface directly from the in-memory execution cache.

1. If the child was corrected/modified (Correction Policy), use the

merged legacy extraction symbols.

• Pass these child symbol blocks as prompt context when invoking P's

explorer scout.

• Verification Command Target Lookup: Populate the Verification section

using the discovered VerificationCommand.

• If the project uses Bazel/BUILD files: check if a BUILD file exists

in D or the nearest ancestor, referencing bazel test / bazel build.

• If the project uses other manifests (package.json, Cargo.toml,

go.mod, pyproject.toml, Makefile), populate with the corresponding test runner command.

• If no verification command is identified, omit or use a placeholder.

• Directory Classification & Template Generation: Generate or correct

target_filename using your file-writing tool or your file-editing tool based on D's classification.

• Component Package (Peanut): D contains direct source code

files. Use the Component Package README Template. (If it also has child subdirectories, include relative links to their contracts in the Interface section).

• Repository Blueprint (Hay): D contains no direct source code

files, but contains subdirectories with code contracts. Use the Intermediate Blueprint README Template.

• Link Formatting Policy (CRITICAL): Package contract files must use a

hybrid link formatting approach to balance portability and clarity:

1. Relative Links to Existing Files Only: Use relative paths

(e.g., ./child/${target_filename} or ../sibling/${target_filename}) for child contracts and sibling file references within the same codebase subsystem. (CRITICAL: Only generate [Child](./child/${target_filename}) links for child directories that exist in the pruned subtree_index and contain an actual ${target_filename}. If a child directory contains a SKILL.md or other non-contract asset, link directly to ./child/SKILL.md or format it as an unlinked bullet point. Never output speculative links to non-existent contract files).

1. Absolute Links: Use standard URLs or repository paths

for referencing files outside the package subsystem (e.g., cross-package dependencies).

• Markdown Formatting: Immediately after writing or correcting

target_filename in D, ensure clean markdown formatting (valid headers, tables, and code fences). If a project markdown formatter (e.g. npx prettier --write) is configured in the repository, you may execute it on target_filename.

1. Worker Reporting: Once the assigned subtree is fully traversed, compile

the subtree_index array containing the path, summary, interface, invariants, and side_effects for every processed directory.

1. If is_worker is true, return this JSON payload (matching the `Worker

Return Interface Schema) to the Root Orchestrator and terminate. If is_worker is false` (sequential mode), proceed directly to Step 5: Root Compilation & Termination.

Step 5: Root Compilation & Termination (Root Orchestrator)

1. Receive Worker Payloads: Collect the JSON subtree_index payloads

returned by all parallel Sub-Orchestrators.

• Root Fault Tolerance: If a parallel worker fails or times out, log a

warning, insert a placeholder warning link ([Subtree Root] (Documentation failed / Subagent execution timeout)) in the root Blueprint's subdirectory index, and complete the remaining compilation. (Worker failures leaving partial files are handled as an incremental progress feature; the Correction Policy allows resuming on subsequent runs).

1. Intermediate Directory Documentation: Identify any intermediate

directories sitting between the root path and the partitioned subtree roots.

• Process these intermediate directories sequentially bottom-up.
• Generate Intermediate Blueprint contract files using the compiled summaries

returned by the workers.

• Ensure clean formatting and valid relative links for each Intermediate

Blueprint contract file.

1. Root Directory Documentation: The target root path of the execution is

always classified as the Repository Root (Blueprint / Hay).

• Check if target_filename already exists in path. If present, apply the

Correction & Modification Policy to read and retain the existing title, metadata, and architectural overview at the top of the root contract file.

• Check if path itself contains any direct source files. If present,

spawn a goldfish-explorer scout for path to extract local symbols and invariants, appending them under the optional ## Local Interface & Invariants section.

• Compile the final root target_filename using the **Repository Root Blueprint

Template**, rolling up all top-level subdirectory boundaries.

• Write the root target_filename using your file-writing tool.

1. Final Correctness Verification (CRITICAL): You MUST perform a final

verification pass across ALL created and modified contract files in the subtree_index (including all child package contracts like pkg1/${target_filename} and pkg2/${target_filename}) as a correctness check before concluding work. You MUST explicitly read every single created or modified contract file to verify its content. Do not skip any child contract files. Verify:

• EGM Compliance: Ensure Interface, Invariants, and Side Effects

sections exist and are populated.

• Markdown Syntax: Ensure clean headers, valid tables, and proper code block fences.
• Valid & Resolvable Links (CRITICAL): Ensure all subdirectory and

sibling links use valid relative paths (./subdir/${target_filename} or ./subdir/SKILL.md), and explicitly verify that every referenced target file actually exists on the filesystem. Remove or correct any broken relative references.

• Valid Targets: Verify verification targets match project test configuration.

1. Optional Drift Review (CRITICAL): After verification, ask the user (using

a structured question tool, if your harness has one, or plain chat) to offer running a drift report on the generated documentation updates:

• question: "Do you want to run the EGM Drift Report on the generated

contract updates to check for consistency with the codebase?"

• options: `["(Recommended) Yes, run drift report on modified contracts",

"No, skip drift review"]`

• If the user selects "Yes", run the egm-drift-report skill targeting

the modified contracts to verify that the documentation accurately reflects the current codebase state. (Note: While egm-drift-report is often used for design documents, it can be applied to EGM-compliant contracts as a variant).

1. Terminate execution successfully.

Templates

📄 Component Package (Peanuts) README Template

# [Component Name]
 
## Overview
[Prose overview of the component's architectural role and goals]
 
## Interface
-[Public classes, functions, and symbols]
-[Subdirectories list and relative links to their contracts (e.g., `./subdir/README.md` or `./subdir/${target_filename}`)]
 
## Invariants
-[State and call invariants that must be preserved by developers/agents]
 
## Side Effects
-[State mutations, network calls, disk access, locks, or external side effects]
 
## Verification
-Run: `<test-command>`

📄 Repository Root (Blueprint / Hay) README Template

# [Repository Name] Blueprint
 
## System Overview
[High-altitude architectural overview of this subsystem]
 
[Optional section if the root directory contains direct source files]
## Local Interface & Invariants
-[Direct symbols, invariants, and side effects of files in the root folder]
 
## Subdirectories & System Boundaries
-[Subdirectory Name]: [Relative link to existing child contract file (e.g., `./subdir/README.md` or `./subdir/${target_filename}`) or `./subdir/SKILL.md`] - [Summary of child contract/role]
 
## Global Invariants
-[System-wide constraints that cross component boundaries]
 
## Global Side Effects
-[Shared resources, databases, or external integrations affected by this subsystem]
 
## System Verification
-Run: `<test-command>`

📄 Intermediate Blueprint README Template

# [Directory Name]
 
## Overview
[Factual overview of the subdirectories and systems grouped under this directory path]
 
## Subdirectories & Boundaries
-[Subdirectory Name]: [Relative link to existing child contract file (e.g., `./subdir/README.md` or `./subdir/${target_filename}`) or `./subdir/SKILL.md`] - [Summary of child contract/role]

Schemas

Worker Return Interface Schema (JSON)

{
  "type": "object",
  "properties": {
    "subtree_index": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "path": { "type": "string" },
          "summary": { "type": "string" },
          "interface": { "type": "array", "items": { "type": "string" } },
          "invariants": { "type": "array", "items": { "type": "string" } },
          "side_effects": { "type": "array", "items": { "type": "string" } }
        },
        "required": ["path", "summary"]
      }
    }
  },
  "required": ["subtree_index"]
}