implement-factory

A coordinator for breaking a large software project into dependent work units, assigning them to separate coding agents, and checking their results against test scenarios.

In plain words
What is it for?
Use it to plan and run multi-feature or multi-component implementations, including parallel work and evaluation against reserved test cases.
Why use it?
It helps manage complex projects where several parts can be built at once while keeping track of dependencies, failures, retries, and overall progress.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/rsmdt/the-startup/implement-factory
Any agent
npx skills add rsmdt/the-startup --skill implement-factory
Clone the repo
git clone --depth 1 https://github.com/rsmdt/the-startup

Made for: Claude Code, Codex.

Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,837 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00037 $0.02837
Opus 5 $0.00018 $0.01418
Sonnet 5 $0.00007 $0.00567
Haiku 4.5 $0.00004 $0.00284

Measured yesterday against content hash ad6840df7710, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

implement-factory scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sf http://localhost:{servicePort}/health && break
plugins/start/skills/implement-factory/SKILL.md · 323 lines

How it starts

The opening of the file, as written. The whole thing — 323 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Persona

Act as a factory loop orchestrator that implements specifications by spawning isolated subagents. You control information flow between code agents and evaluation agents. You never implement code directly.

Implementation Target: $ARGUMENTS

Interface

Unit { id: string // e.g., "ve1" title: string dependencies: string[] // unit IDs this unit depends on status: pending | in_progress | completed | failed iteration: number // current retry count (starts at 0) failureSummaries: string[] // one-line summaries from last evaluation }

ExecutionGroup { number: number mode: parallel | sequential unitIds: string[] }

EvaluationResult { unitId: string satisfaction: number // 0.0 - 1.0 passed: string[] // scenario names that passed failed: FailedScenario[] }

FailedScenario { name: string summary: string // one-line observable symptom failCount: string // e.g., "3/3 failures" }

Manifest { title: string status: pending | in_progress | completed | failed threshold: number // e.g., 0.90 maxIterations: number // e.g., 5 units: Unit[] executionGroups: ExecutionGroup[] }

State { target = $ARGUMENTS specDirectory: string // resolved .start/specs/NNN-name/ path manifest: Manifest servicePort: number // discovered from project instructions or package.json startCommand: string // discovered from project instructions or package.json serviceProcess: active | stopped }

Constraints

Always:

  • Delegate ALL implementation to code agents and ALL evaluation to evaluation agents — spawn each as an isolated specialist subagent.
  • Construct each agent's prompt using the templates in reference/code-agent.md and reference/eval-agent.md.
  • Enforce information barriers: code agents never see scenarios; evaluation agents never see source code or unit specs.
  • Filter failure feedback to one-line summaries only — never pass scenario text or full evaluation output to code agents.
  • Start the service once per execution group; keep it running across all evaluations in that group.
  • Health-check before every evaluation phase.
  • Restart the service only if a code agent changed server-side code on retry.
  • Update manifest.md checkboxes and frontmatter status as units complete.
  • Skip already-completed units when resuming an interrupted manifest.
  • Present satisfaction metrics to the user after each evaluation.
  • Escalate to the user when max iterations is reached for any unit.
  • Use the validate skill in constitution mode at group boundaries if a CONSTITUTION.md exists at the project root.

Read the full file on GitHub · 323 lines

Files

What ships with it

40 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 323 lines · 37 tokens per session scan A ad6840df7710

Subscribe to this mod's changes

implement-factory is a skill published in the GitHub repository rsmdt/the-startup (511 stars, last pushed 28d ago), licensed MIT. It adds 37 tokens to every session and 2,837 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

postgres-database-migration

Use this skill for planning, testing, and safely executing PostgreSQL schema migrations — especially when working with production data or shared databases. Trigger when user asks to: Test a schema migration before applying it to production Add, remove, or rename columns safely on a live table Change a column's data…

timescale/pg-aiguide · 222 tokens

design-postgis-tables

Comprehensive PostGIS spatial table design reference covering geometry types, coordinate systems, spatial indexing, and performance patterns for location-based applications.

timescale/pg-aiguide · 31 tokens

setup-timescaledb-hypertables

Use this skill when creating database schemas or tables for Timescale, TimescaleDB, TigerData, or Tiger Cloud, especially for time-series, IoT, metrics, events, or log data. Use this to improve the performance of any insert-heavy table. Trigger when user asks to: Create or design SQL schemas/tables AND…

timescale/pg-aiguide · 219 tokens

migrate-postgres-tables-to-hypertables

Use this skill to migrate identified PostgreSQL tables to Timescale/TimescaleDB hypertables with optimal configuration and validation. Trigger when user asks to: Migrate or convert PostgreSQL tables to hypertables Execute hypertable migration with minimal downtime Plan blue-green migration for large tables Validate…

timescale/pg-aiguide · 181 tokens

pgvector-semantic-search

Use this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. Trigger when user asks to: Store or search vector embeddings in PostgreSQL Set up semantic search, similarity search, or nearest neighbor search Create HNSW or IVFFlat indexes for vectors…

timescale/pg-aiguide · 190 tokens

postgres-hybrid-text-search

Use this skill to implement hybrid search combining BM25 keyword search with semantic vector search using Reciprocal Rank Fusion (RRF). Trigger when user asks to: Combine keyword and semantic search Implement hybrid search or multi-modal retrieval Use BM25/pgtextsearch with pgvector together Implement RRF (Reciprocal…

timescale/pg-aiguide · 162 tokens