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/deepfork

Reverse-engineer any open-source repo into a clean, queryable understanding and a rebuildable blueprint — then build your own customized version from the blueprint. Use when the user wants to understand how a repo works, learn its architecture, or rebuild a tool with their own

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deepfork
111 skill

Claude Code

$ npx -y skills add GerardoRdz96/deepfork --skill deepfork --agent claude-code

SKILL.md

deepfork.SKILL.md
name: deepfork
description: Reverse-engineer any open-source repo into a clean, queryable understanding and a rebuildable blueprint — then build your own customized version from the blueprint. Use when the user wants to understand how a repo works, learn its architecture, or rebuild a tool with their own changes ("how does X work", "rebuild X but with Y", "reverse engineer X", "deepfork X").

DeepFork — don't fork the code, fork the design

You are running a five-phase reverse-engineering pipeline. The product of each phase is a file the user keeps. Never skip Phase 0.

All outputs go to `deepfork-out/<target-name>/` in the current working directory.

Phase 0 — License gate (non-negotiable)

Before cloning anything:

1. Check the target's license (`gh api repos/<owner>/<repo> --jq .license.spdx_id` or the LICENSE file). 2. **Proceed only for OSI-approved licenses** (MIT, Apache-2.0, BSD, GPL/AGPL/LGPL, MPL, etc.). No license = all-rights-reserved = **stop and tell the user** (you may still produce the *understanding* report from public code, but no rebuild). 3. State the rules of engagement in one line to the user:

  • The blueprint describes **behavior and architecture**, never copies code.
  • The rebuild is **clean-room**: written from the blueprint, not from the source.
  • Copyleft targets (GPL/AGPL): warn that a rebuild closely derived from the design may carry obligations; recommend the rebuild also be open source.
  • The final repo gets an `ATTRIBUTION.md` crediting the original.

4. Record license + rules in `deepfork-out/<target>/LICENSE-GATE.md`.

Phase 1 — Acquire

git clone --depth 1 <target-url> deepfork-out/<target>/source

Note stars/age/activity in one line (context for how battle-tested the design is).

Phase 2 — Comprehend (the graph pass)

**With graphify** (preferred — check `command -v graphify`; if missing, offer: `uv tool install graphifyy`, or proceed to the fallback):

cd deepfork-out/<target>/source
graphify .                          # code-only is free & local (tree-sitter AST)
# add --backend claude-cli if the repo's docs/images matter to understanding
graphify cluster-only .             # names communities, writes GRAPH_REPORT.md
graphify . --wiki                   # agent-crawlable wiki: index + one page per subsystem

**Fallback (no graphify):** build the map by hand — entry points (bin/main/exports), dependency manifest, directory tree with per-dir one-liners, and a call-graph sketch of the top 5 most-imported modules.

Then write **`UNDERSTANDING.md`** — the "most clean way to understand this repo":

1. **One-paragraph thesis** — what this repo actually is, mechanically. 2. **The load-bearing pieces** (graphify's god nodes): the 3-7 functions/classes everything routes through. For each: what it does, why everything depends on it. 3. **Subsystems** (the communities): one section each — purpose, key files, how it talks to the others. 4. **The data flow**: trace ONE representative request/call end to end, file by file. 5. **Surprising connections**: the non-obvious couplings (graphify's analysis pass surfaces these) — these are where rebuilds go wrong. 6. **Honesty labels**: mark each claim `[VERIFIED]` (you read the code) or `[INFERRED]` (from the graph/structure). Verify every load-bearing claim by reading the actual code before labeling it VERIFIED.

Phase 3 — Interrogate

Answer the questions a rebuilder must know, using `graphify query / path / explain` (or direct reading):

  • What is the core algorithm/trick, in plain words? (the thing you'd lose if you rebuilt naively)
  • What do the public interfaces promise? (CLI surface, API contracts, file formats)
  • Which dependencies are load-bearing vs incidental?
  • What does it do at the edges — errors, concurrency, persistence?
  • What would break first at 10× scale or hostile input?

Append answers to `UNDERSTANDING.md` § "Interrogation". Read the real code for anything still `[INFERRED]` that the rebuild depends on.

Phase 4 — Blueprint

**Ask the user the customization question before writing** (this is the whole point — their version, not a clone):

> "What do you want YOUR version to do differently? (different language/stack, smaller scope, new capability, different storage, simpler/embedded, …)"

Then write **`BLUEPRINT.md`** — a spec someone could build from WITHOUT ever seeing the original source:

1. **Mission** — what the new tool does, for whom, in 2 sentences. 2. **Architecture** — components, responsibilities, boundaries (informed by the original's communities, *improved* where the surprising-connections pass showed accidental coupling). 3. **Core mechanisms** — each described **behaviorally** (inputs → transformation → outputs, invariants, edge rules). Pseudocode allowed; copied code forbidden. 4. **Contracts** — CLI/API surface, file formats, config schema. 5. **The user's customizations** — explicit deltas from the original's design, each with rationale. 6. **Build order** — milestones, each independently testable; test strategy per mechanism. 7. **Dependency decisions** — what to take, what to write, what to drop (with the original's choices as evidence).

Phase 5 — Rebuild (clean-room)

1. Scaffold a fresh repo (new directory, user's name, their license choice). 2. **Close the original source.** Build from `BLUEPRINT.md` only. If you must check behavior, run the original as a black box (inputs/outputs) — do not read its code during implementation. 3. Build milestone by milestone, tests first for the core mechanisms. 4. Ship with `ATTRIBUTION.md`: "Design informed by reverse-engineering <original> (<license>). Implementation is original, built clean-room from a behavioral blueprint." 5. Final check: diff-of-spirit — does YOUR version do the user's deltas, not just clone the original?

Guardrails

  • Phase 0 always runs. Private/leaked/unlicensed code: understanding-report only, never a rebuild.
  • Never paste original source into the re
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@gerardordz96
Ships withdeepfork

Don't fork the code. Fork the design. An agent skill that reverse-engineers any open-source repo into a clean explanation + a rebuildable clean-room blueprint — then builds YOUR version. Powered by knowledge graphs.

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Questions about deepfork.

Which coding agents can use deepfork?
deepfork installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.