Agent skill

Factory Init

by tikalk in tikalk/adlc-team-skills

A skill your agent uses when onboarding a brownfield repo onto ADLC end-to-end, or running the recurring PDR↔ADR↔ChDR↔code alignment sweep (--refresh).

MITAuto-check passedDevelopment

Install Factory Init

skills CLI
$ npx skills add tikalk/adlc-team-skills --skill factory-init -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install tikalk/adlc-team-skills factory-init --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/tikalk/adlc-team-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/factory/factory-init .claude/skills/factory-init && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
factory-init
GitHub stars
141
Token cost
~3.3k tokens
SKILL.md length
1,334 words
Files
1
Skills in repo
44
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when onboarding a brownfield repo onto ADLC end-to-end, or running the recurring PDR↔ADR↔ChDR↔code alignment sweep (--refresh).

  • Works in 6 steps: Publish Target: Fixed to local. Outputs… → Output Types (per PDR-050): init steps →… → Supervision Default: hybrid. Human gates… → …
  • Onboarding a brownfield repo onto ADLC end-to-end
  • SKILL.md covers What this skill does, When to use, Route Classification and Lifecycle DAG & Step Resolution, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Factory Init is an agent skill from tikalk/adlc-team-skills. Use when onboarding a brownfield repo onto ADLC end-to-end, or running the recurring PDR↔ADR↔ChDR↔code alignment sweep (--refresh).

Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Architecture decision records. The repository describes itself as: Agent skills for the Agentic SDLC: team lifecycle (team-boot, team-learn, team-init, team-repair), software factory, evals, CDR lifecycle with confidence scoring, and… The licence is MIT.

When your agent uses it

  • Onboarding a brownfield repo onto ADLC end-to-end
  • Running the recurring PDR↔ADR↔ChDR↔code alignment sweep (--refresh)

Example prompts

  • “/factory-init”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Publish Target: Fixed to local. Outputs are written to .adlc/ (drafts, coverage) and docs/adlc/ (memory records, docs/adlc/product/PRD.md…
  2. Output Types (per PDR-050): init steps → draft; clarify⭐ → decision; implement/publish → artifact-ref; analyze + sweep → findings.
  3. Supervision Default: hybrid. Human gates hard-enforced at the three clarify⭐ steps (PDR, ADR, ChDR approvals) and at final coverage-matrix…
  4. Pre-flight Check: Verifies that the product-*, architect-*, and change-* lifecycle skills are installed. Team AI directives configuration…
  5. Worktree / lease / heartbeat: follow the shared executor contract, as sibling orchestrators do.
  6. Route for CDR hand-off: after the sweep, present (prose only, no step): "Reusable patterns spotted during bootstrap → run factory-learn or…

What it can do on your machine

Read from SKILL.md and the folder at commit 2dbed36. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Factory Init loads about 3.3k tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 1,334 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~3.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from tikalk/adlc-team-skills at commit 2dbed36, republished under its MIT licence (© tikalk). 1,334 words, ~3,289 tokens.

Download SKILL.mdSave it as .claude/skills/factory-init/SKILL.md (or your agent's skills folder).
name
factory-init
description
Use when onboarding a brownfield repo onto ADLC end-to-end, or running the recurring PDR↔ADR↔ChDR↔code alignment sweep (--refresh).
disable-model-invocation
true

factory-init

What this skill does

factory-init orchestrates the unified brownfield bootstrap: one command that reverse-engineers an existing codebase onto all three project-memory layers and measures how well they align with the code.

It coordinates the leaf lifecycle skills directly — product-init, product-clarify, product-implement, product-analyze, architect-init, architect-clarify, architect-implement, architect-analyze, change-init, change-clarify, change-publish — never the peer orchestrators factory-product / factory-architect / factory-learn.

Its own final step, the sweep, is the only cross-layer analysis in the factory: it builds the coverage matrix (.adlc/coverage/coverage.md) — a feature-area pivot plus the four traceability relations PDR↔ADR, PDR↔code, ADR↔code, ChDR↔code — and diffs it against the previous sweep to detect drift.

It operates as a Kind-A DAG orchestrator in alignment with the shared executor engine contract in factory-mission/references/executor.md.

Scope boundary: project-local memory only (PDR, ADR, ChDR + code). Team context directives (CDR / team-init) are NOT bootstrapped here — they publish to the external team-ai-directives repo and are owned by factory-learn. The sweep's final output includes a prose recommendation to run factory-learn / /team-init for reusable patterns spotted during bootstrap.


When to use

  • You adopt ADLC on an existing repo (code exists, no/partial PDRs, ADRs, ChDRs) and want the full bootstrap in one run.
  • You want a recurring cross-layer alignment audit (--refresh): which decisions are undocumented, which code is undecreed, where product and architecture disagree.

When NOT to use:

  • Greenfield / empty project → run factory-product and factory-architect (specify routes) instead.
  • Single-layer work → factory-product / factory-architect / factory-learn directly.
  • CDR / team-directives contribution → factory-learn.
  • Feature implementation → factory-mission.

Route Classification

ConditionRoute
Code exists, no memory recordsBootstrap (full pipeline)
.adlc/coverage/coverage.md exists, or --refreshRefresh (sweep only)
Partial stateBootstrap with per-layer skip (below)
No codeHalt: greenfield — use factory-product / factory-architect specify routes

Per-layer skip — each track classifies independently; a layer whose memory AND compiled artifact both exist skips its init/implement and runs only its analyze:

LayerSkip init/implement whenAlways runs
productdocs/adlc/memory/pdr/ (legacy .adlc/memory/pdr/ fallback — either non-empty) AND docs/adlc/product/PRD.md existsproduct-analyze
architecturedocs/adlc/memory/adr/ (legacy .adlc/memory/adr/ fallback — either non-empty) AND docs/adlc/architect/AD.md existsarchitect-analyze
changedocs/adlc/memory/chdr/ (legacy .adlc/memory/chdr/ fallback — either non-empty) AND docs/adlc/memory/chdr.md exists(ChDRs feed the sweep directly)

Lifecycle DAG & Step Resolution

factory-init implements a fixed named-skill DAG (fixed step resolution). Tracks run sequentially — each track completes before the next starts. Rationale: the human gets one coherent review session per domain; architect-clarify reads the accepted PDR decisions as context (architecture serves product); the sweep receives the most mature inputs.

Bootstrap Route (12 steps, 3 clarify gates + final matrix review)
#StepSkillPhaseoutput_type
1product-initproduct-initgeneratedraft (.adlc/drafts/pdr/)
2product-clarify⭐product-clarifyclarifydecision
3product-implementproduct-implementbuildartifact-ref (docs/adlc/product/PRD.md)
4architect-initarchitect-initgeneratedraft (.adlc/drafts/adr/)
5architect-clarify⭐architect-clarify (reads accepted PDR list)clarifydecision
6architect-implementarchitect-implementbuildartifact-ref (docs/adlc/architect/AD.md)
7change-initchange-initgeneratedraft (.adlc/drafts/chdr/)
8change-clarify⭐change-clarifyclarifydecision
9change-publishchange-publishbuildartifact-ref (docs/adlc/memory/chdr/)
10product-analyzeproduct-analyzeanalyzefindings
11architect-analyzearchitect-analyzeanalyzefindings
12sweepinline (this skill, §The Sweep Step)analyzefindings (.adlc/coverage/coverage.md + history)
Refresh Route (1 step + loop)
#StepPhaseoutput_type
1sweep (rescan + rebuild + drift diff)analyzefindings
Correction Loops
  • product-analyze / architect-analyze CRITICAL/HIGH → route back to their own track's clarify⭐ (executor default, bounded by max_corrections, default 2).
  • sweep CRITICAL/HIGH findings route by layer tag (ADR-361): every finding carries [layer: product|architecture|change|cross] and routes to the matching track's clarify (product-clarify / architect-clarify / change-clarify). cross findings route to the track owning the cited record; ambiguous → halt for the human (hybrid gate). Bounded by max_corrections.

The Sweep Step (inline composite step)

The sweep is executed by this orchestrator (step skill: factory-init, prompt = this section), not by a leaf skill.

Inputs (all read-only)

| Source | Yields | |--| | product-init + architect-init setup scripts (re-run; idempotent JSON scanners) | sub-systems, feature-areas, tech stack | | docs/adlc/memory/{pdr,adr,chdr}/ (legacy .adlc/memory/ fallback, + indexes) | accepted decisions per layer | | docs/adlc/product/PRD.md, docs/adlc/architect/AD.md | compiled artifacts | | .adlc/coverage/coverage.md (if exists) | previous matrix → drift diff |

Output: .adlc/coverage/coverage.md (+ history/<date>-<run_id>.md)

1. Pivot: Area Coverage — row axis is the union of sub-systems ∪ feature-areas, reconciled by name/directory overlap with a mapping column; unreconciled rows stay separate and are flagged. Every cell cites evidence (record IDs, file paths) — no fabricated cells.

markdown
## Pivot: Area Coverage

| Area | Feature-Area | Sub-System | PDRs | ADRs | ChDRs | Code Evidence | Coverage |
|------|--------------|------------|------|------|-------|---------------|----------|
| payments | billing | payments | 3 | 1 | 4 | present (src/payments/) | 62% |

2. Relations — four pairwise, bidirectional; each section has a Coverage: N% line and gap lines citing record IDs or paths, each tagged [layer: ...]:

RelationGap directions
PDR↔ADRproduct decision with no architectural support; orphan ADR (no product grounding — MEDIUM, not auto-defect)
PDR↔codedecided-but-unimplemented; implemented-but-undocumented
ADR↔codedecided-but-not-reflected-in-code; code pattern without ADR
ChDR↔codeChDR-dense area with no ADR (active change, no architectural record); ChDR describing code that no longer matches (superseded decision)

PDR↔ADR mapping requires textual overlap between records — proposed, never asserted.

Every gap line uses the form:

markdown
- Gap: <description citing PDR-NNN / ADR-NNN / ChDR-NNN or a file path> [layer: product|architecture|change|cross]

3. Severity model (family standard): constitution violation = CRITICAL; accepted decision contradicted by code = HIGH; undocumented/undecided mismatches = MEDIUM; unreconciled areas, style = LOW.

4. Drift section — ## Drift vs <previous date> sweep (or ## Baseline on first sweep): new gaps, closed gaps, regressed areas. On refresh, this diff IS the report.

5. Findings output — severity-ranked summary published as output_type: findings (comment bus if tracker-integrated, else runs/<run_id>/findings/sweep.md); every finding tagged [layer: ...] for correction routing (ADR-361). The matrix file itself is the artifact; the matrix never edits records — it reports, clarify fixes.


Show full SKILL.md (503 more words)Show less

Shared Executor Overrides

factory-init overrides the shared executor engine primitives as follows:

  1. Publish Target: Fixed to local. Outputs are written to .adlc/ (drafts, coverage) and docs/adlc/ (memory records, docs/adlc/product/PRD.md, docs/adlc/architect/AD.md). If tracker-integrated, a tracker completion summary comment is also posted.
  2. Output Types (per PDR-050): init steps → draft; clarify⭐ → decision; implement/publish → artifact-ref; analyze + sweep → findings.
  3. Supervision Default: hybrid. Human gates hard-enforced at the three clarify⭐ steps (PDR, ADR, ChDR approvals) and at final coverage-matrix review.
  4. Pre-flight Check: Verifies that the product-*, architect-*, and change-* lifecycle skills are installed. Team AI directives configuration is NOT required (CDR excluded); architect-init's team-directives dedup degrades gracefully if unconfigured.
  5. Worktree / lease / heartbeat: follow the shared executor contract, as sibling orchestrators do.
  6. Route for CDR hand-off: after the sweep, present (prose only, no step): "Reusable patterns spotted during bootstrap → run factory-learn or /team-init."

Deconfliction

  • factory-product / factory-architect brownfield routes remain the single-layer entry points; factory-init is the unified one. Per-layer skip keeps a re-run cheap on repos that already have one layer documented.
  • factory-learn Historical Mining route = ongoing/incremental ChDR mining (post-incident, pre-refactor); factory-init = one-time deep bootstrap (full window). Both reuse the same change-* leaf skills.
  • team-init (brownfield CDR) has no factory route today — a known gap in factory-learn, out of scope here.

Red Flags

  • Fabricating matrix cells — every coverage cell and gap must cite a record ID or file path. An uncited gap is context poisoning.
  • Asserted PDR↔ADR mappings — mapping is proposed on textual evidence; "we think these relate" without overlap text is a fabrication.
  • Silent reconciliation — merging a feature-area with a sub-system without flagging the mapping (or flagging unreconciled rows as gaps) hides product/architecture disagreement.
  • Skipping clarify gates — the sweep is last because it audits ACCEPTED decisions; sweeping drafts or auto-accepted records defeats the pipeline.
  • Blind correction routing — sweep findings must carry [layer: ...] tags; routing everything to "the preceding clarify" sends product gaps to architecture review.
  • The matrix editing records — the sweep reports; only clarify⭐ steps modify decisions with human approval.

Verification

  • All 12 bootstrap steps completed (or per-layer skip applied with reason recorded in state)
  • docs/adlc/product/PRD.md, docs/adlc/architect/AD.md, docs/adlc/memory/{pdr,adr,chdr}/ populated per track
  • .adlc/coverage/coverage.md written with Pivot (all layer columns), four relations each with Coverage: N%, layer-tagged + cited gap lines, and Drift/Baseline section
  • Prior matrix archived to .adlc/coverage/history/<date>-<run_id>.md
  • Every sweep finding tagged [layer: ...]; CRITICAL/HIGH routed to the matching track's clarify (bounded max_corrections)
  • Three clarify gates (product, architecture, change) plus the final matrix review fired in hybrid mode
  • CDR hand-off recommendation presented in the final output
  • Zero records modified by the sweep itself

Configuration

  • PDR_DRAFTS_DIR — {REPO_ROOT}/.adlc/drafts/pdr
  • ADR_DRAFTS_DIR — {REPO_ROOT}/.adlc/drafts/adr
  • CHDR_DRAFTS_DIR — {REPO_ROOT}/.adlc/drafts/chdr
  • COVERAGE_DIR — {REPO_ROOT}/.adlc/coverage (coverage.md + history/)
  • PRD_FILE — {REPO_ROOT}/docs/adlc/product/PRD.md | AD_FILE — {REPO_ROOT}/docs/adlc/architect/AD.md
  • Shared run state — {REPO_ROOT}/.adlc/workflows/runs/<run_id>/state.json via adlc-cli workflow state helpers (ADR-395; lease/resume)

References

  • factory-mission/references/executor.md — shared executor contract (step schema, phases, correction loop, output types)
  • factory-mission/references/tracker-integration.md — comment bus, marker comments, distributed lease
  • PDR-072 (factory-init skill — unified brownfield bootstrap + coverage matrix)
  • ADR-361 (sweep layer-tagged correction routing)
  • ADR-341 (workflows as graphs — fixed DAG chosen; declarative graphs remain an option)
  • PDR-050 (output type classification — draft/decision/findings/artifact-ref)
  • factory-product/SKILL.md, factory-architect/SKILL.md, factory-learn/SKILL.md — sibling orchestrators; single-layer entry points

© tikalk, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/factory/factory-init of tikalk/adlc-team-skills.

Open the folder on GitHubat commit 2dbed36

Compare with similar skills

Factory Init next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Categories

Questions about Factory Init

What does Factory Init do?

A skill your agent uses when onboarding a brownfield repo onto ADLC end-to-end, or running the recurring PDR↔ADR↔ChDR↔code alignment sweep (--refresh). Factory Init is an agent skill from tikalk/adlc-team-skills. Use when onboarding a brownfield repo onto ADLC end-to-end, or running the recurring PDR↔ADR↔ChDR↔code alignment sweep (--refresh).

When should I use Factory Init?

Factory Init fits situations like: onboarding a brownfield repo onto ADLC end-to-end; running the recurring PDR↔ADR↔ChDR↔code alignment sweep (--refresh).

How do I install Factory Init in Claude Code?

Run `npx skills add tikalk/adlc-team-skills --skill factory-init -a claude-code`. Or copy the skill folder (skills/factory/factory-init in tikalk/adlc-team-skills) into .claude/skills/factory-init in your project. Claude Code loads it when a task matches its description.

How do I install Factory Init in Codex?

Run `npx skills add tikalk/adlc-team-skills --skill factory-init -a codex`. Or copy the skill folder (skills/factory/factory-init in tikalk/adlc-team-skills) into .agents/skills/factory-init in your project. Codex loads it when a task matches its description.

Can I use Factory Init in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add tikalk/adlc-team-skills --skill factory-init -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/factory-init, .gemini/skills/factory-init, .github/skills/factory-init and .opencode/skills/factory-init in your project.

What does Factory Init need to run?

SKILL.md names no scripts, command-line tools or credentials: Factory Init is instructions for the agent only.

Does Factory Init access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Factory Init safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Factory Init use?

Factory Init is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Factory Init use?

About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Factory Init?

Skills that share tags, products or a category with Factory Init: PR Design Doc (OpenHands/OpenHands, 90k stars), Cto Advisor (Ibrahim-3d/orchestrator-supaconductor, 380 stars), Improve Codebase Architecture (ywwynm/EverythingDone, 144 stars) and Domain Modeling (brim-borium/spotify_sdk, 166 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Factory Init?

tikalk (a GitHub organization) maintains it in tikalk/adlc-team-skills, which has 141 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on October 6, 2026.

Source: tikalk/adlc-team-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.