Orchestrate spec-driven development with Claude Code
Symlinked Claude Code skill/agent toolkit for spec-driven development: spec, architect, review, canary deploy, wrapup.
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Why it matters
Automate the entire software development lifecycle from requirements gathering through deployment by providing Claude Code with structured skills, templates, and workflows that enforce consistent spec-driven development practices across any tech stack.
Outcomes
What it gets done
Transform feature requests into validated requirement specs and technical architecture
Run parallel multi-repo development pipelines with automated code review and testing
Deploy canary releases with smoke tests and promote on success
Track cross-repository feature work with deterministic merge ordering and drift detection
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/atelier-fashion-adlc-toolkit | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
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Overview
Adlc Toolkit
A Claude Code skill and agent toolkit for spec-driven development: writing specs, architecting tasks, multi-agent review, canary deployment, and cross-repo coordination. Use it for spec-driven feature or bug-fix work in a Claude Code-managed codebase, including multi-requirement or multi-repo pipelines.
What it does
ADLC Toolkit is a set of Claude Code skills, agents, and templates for spec-driven development, installed as a symlink from a single git clone into ~/.claude/skills/ and ~/.claude/agents/ so every Claude Code session on the machine sees the same live copy - editing and committing to the clone updates every project instantly, with no separate install or sync step. It ships roughly 18 skills covering the full development lifecycle: bootstrapping a project's .adlc/ structure, writing requirement specs, designing architecture and breaking work into tasks, validating any phase's output before advancing, an end-to-end pipeline that chains validate, architect, implement, reflect, review, PR, and wrapup (opening a draft PR early and trial-merge-gating the actual merge to enforce ordering), a parallel-sprint orchestrator that runs multiple pipeline sessions across requirements concurrently, multi-agent code review across correctness, quality, architecture, tests, and security, canary deployment with smoke tests, feature wrapup (commit, merge, deploy, update artifacts), a streamlined bug-fix flow, cross-project status and manifest views, codebase health and API cost or performance audits, and template-drift detection between a project's local templates and the canonical ones. Requirement, task, bug, assumption, and lesson-learned templates standardize what each phase produces, and optional stack-shaped presets, for example iOS plus Firebase plus Cloud Run, seed a project's .adlc/config.yml so skills read stack-specific values like GCP project IDs or iOS device names at runtime rather than having them hardcoded.
When to use - and when NOT to
Use it for spec-driven feature development in a Claude Code-managed codebase, following the standard chain (spec, validate, architect, validate again, implement, reflect, review, merge, wrapup), the streamlined bug-fix chain (report, analyze, fix, verify, ship), or a parallel multi-requirement batch via the sprint orchestrator. It is stack-agnostic at the core: any stack-specific behavior, such as deploying a Cloud Run service or pushing a build to an iOS device, reads its concrete values from a project's own .adlc/config.yml rather than being baked into the skills themselves, and a project with no config file at all simply falls back to legacy single-repo behavior. It also supports features that span multiple repositories - whichever repo /proceed or /bugfix is invoked from becomes that requirement's primary, holding its spec, tasks, and pipeline state, while every repo that can originate work keeps a mirror-image .adlc/ config listing the others as siblings and a shared merge order.
Inputs and outputs
Input is a feature request, bug report, or requirement ID, plus the project's own .adlc/config.yml (stack, deploy targets, repo layout) and .adlc/context/ (architecture, conventions, overview). Output is the standard set of ADLC artifacts under .adlc/specs/ and .adlc/knowledge/, plus the project's own commits and PRs: requirement and task specs, validated-assumption and lesson-learned entries, a draft-then-merged pull request per touched repo (in cross-repo mode, one PR per repo landed in the declared merge order), and a canary deployment when requested. Install is a two-step symlink setup:
git clone https://github.com/<owner>/adlc-toolkit.git
then symlinking the clone into ~/.claude/skills/ and ~/.claude/agents/ with absolute paths, followed by running /init inside any target repo to bootstrap its .adlc/ directory and copying a matching stack preset, or the bare template, to .adlc/config.yml.
Integrations
Reads and writes each managed repo's own .adlc/ directory (specs, context, knowledge, templates, workflows) and its config.yml for stack-specific values such as GCP project/region, Cloud Run service names, and iOS deploy targets and commands. Deterministic Dynamic Workflow scripts plus JSON-Schema literals validate agent output at each phase; a companion CLI toolset offloads token-heavy I/O from the main Claude Code session via a separate model delegation client. Cross-repo requirements coordinate git worktrees and merge ordering across every touched sibling repository declared in config.yml.
Who it's for
Teams running spec-driven development across one or more repositories in Claude Code who want a standardized pipeline - spec, architecture, implementation, multi-agent review, canary deploy, wrapup - with stack-specific behavior configured per project rather than hardcoded, and with multi-requirement or multi-repo work coordinated automatically.
Source README
ADLC Toolkit
Skills, agents, and templates for spec-driven development with Claude Code. Stack-agnostic at the core, with optional preset configs for common stacks (iOS+Firebase+Cloud Run, etc.).
What's Included
Skills
| Skill | Description |
|---|---|
/init |
Bootstrap .adlc/ structure in a new repo |
/spec |
Write requirement specs from feature requests. Pass --intake (or a source file path, or over 25 lines of input) to run intake on unstructured material - a transcript, meeting notes, a ticket dump - producing a draft REQ plus an explicit gap list naming what the source does not answer (REQ-594) |
/architect |
Design architecture and break requirements into tasks |
/validate |
Validate any ADLC phase output before advancing |
/proceed |
End-to-end pipeline: validate → architect → implement → reflect → review → PR → wrapup. Opens a draft PR early and trial-merge-gates the merge to enforce ordering (REQ-483) |
/sprint |
Parallel pipeline orchestrator - launch multiple /proceed sessions across REQs. Has a workflow engine (--workflow, the deterministic adlc-sprint Dynamic Workflows script that restores per-REQ fan-out while keeping cross-REQ concurrency) with the legacy background-runner engine as an always-available fallback |
/reflect |
Post-implementation self-review before formal review |
/review |
Multi-agent code review (correctness, quality, architecture, tests, security) |
/adversary |
Adversarial review of any artifact (spec, plan, diff/PR, README, or prose claim) - assumes it is wrong and tries to prove it, then reports only findings that survive self-refutation. Read-only; hunts omissions, not just bugs in what was written |
/canary |
Canary deployment with smoke tests - deploy zero-traffic revision and promote on success |
/wrapup |
Close out a feature - commit, merge, deploy, update artifacts |
/bugfix |
Streamlined bug fix workflow |
/status |
Show current state of all ADLC work |
/manifest |
Remote-derived view of all in-flight ADLC work - open PRs + pushed feat/REQ-* branches, with advisory component/domain + file-footprint overlap and a deterministic merge order (REQ-483) |
/analyze |
Codebase health audit |
/optimize |
API cost & performance scanner |
/template-drift |
Detect drift between a project's local .adlc/templates/ and the canonical toolkit templates |
Templates
requirement-template.md- Requirement spec templatetask-template.md- Technical task templatebug-template.md- Bug report templateassumption-template.md- Validated-assumption knowledge entrylesson-template.md- Lesson-learned knowledge entrytaxonomy-template.md- Tag/taxonomy reference for retrieval tagging
See templates/ for the authoritative set (also includes the non-.md config-template.yml and claude-settings-template.json).
Presets
Stack-shaped starter configs that seed .adlc/config.yml for common stacks. See presets/ for the current list.
Workflows
Deterministic Dynamic-Workflow scripts + the JSON-Schema literals they validate agent output against. See workflows/ - reached via the skills symlink and vendored into a consumer's .adlc/workflows/ by /init (same two-level path resolution as templates/ and partials/).
Tools
Standalone command-line utilities (not skills). See:
tools/adlc/- theadlcumbrella CLI. Its first subcommand,adlc doctor, is a read-only health check that diagnoses every install dependency and prints a copy-pasteable fix for each failure. Installed by the rootinstall.sh.tools/delegate/- provider-agnostic delegation CLIs (adlc-read,adlc-write,extract-chat) for offloading token-heavy I/O. Off by default - opt in via./install.sh --with-delegation.
How it works
The toolkit is split into two layers:
- The toolkit repo (this repo) - generic skills, agents, and templates that work for any stack. Symlinked into
~/.claude/skills/so every Claude Code session sees them. - Per-project
.adlc/directory - lives in each code repo. Holds the project's specs, architecture, conventions, and aconfig.ymlthat declares the project's stack, deploy targets, and repo layout. All project-specific values live here, never in the toolkit.
Skills read .adlc/config.yml at runtime to resolve project-specific things (GCP project IDs, iOS device names, Cloud Run service names, etc.) - nothing is hardcoded in the skills themselves.
Setup
Two commands:
# Replace <owner> with the canonical upstream's GitHub owner (or your fork's).
git clone https://github.com/<owner>/adlc-toolkit.git
cd adlc-toolkit && ./install.sh
install.sh is idempotent and repair-capable: it symlinks ~/.claude/skills and ~/.claude/agents to this clone, puts the adlc CLI on your PATH, scaffolds ~/.claude/adlc/config.yml (delegation off by default), and finishes by running adlc doctor. Run it again any time - a healthy machine reports zero actions; a broken one is repaired. Moved the clone? ./install.sh --repair re-stamps everything to the new location.
Did it work? adlc doctor is the answer to every "is my environment set up right?" question. It checks each dependency end-to-end (symlinks, PATH, gh auth, git identity, counters, delegation state, …) and prints an exact, copy-pasteable fix for anything that fails. See tools/adlc/README.md for the full check list.
adlc doctor # full health check
adlc doctor --checks forge # just one check (skills use this as a pre-flight)
Other install options:
./install.sh --dry-run # print the action plan, change nothing
./install.sh --with-delegation # also install the (opt-in) delegation CLIs
The toolkit uses a symlink-based live install: one canonical git clone on disk, exposed to Claude Code at ~/.claude/skills/ via an absolute-path symlink. There is no separate "installed" copy and no sync step - edits you commit to the clone are instantly visible to every Claude Code session on the machine. (For the manual steps install.sh performs under the hood, see Manual install below.)
Initialize a project
In any code repo:
claude
> /init
This bootstraps the .adlc/ directory with project-specific context, specs, and copies of the templates.
Configure for your stack
Pick a preset that matches your stack and copy it to .adlc/config.yml:
ls ~/.claude/skills/presets/
cp ~/.claude/skills/presets/ios-firebase-cloudrun.yml .adlc/config.yml
$EDITOR .adlc/config.yml # replace every <placeholder> with a real value
If no preset matches, copy the bare template instead and fill it out from scratch:
cp ~/.claude/skills/templates/config-template.yml .adlc/config.yml
Single-repo projects without a backend can leave the file absent - every skill falls back to legacy single-repo behavior in that case.
Manual install (under the hood)
./install.sh is the supported path; this section documents what it does so you can reproduce it by hand or debug a failure. (adlc doctor checks each of these.)
# 1. Back up any existing directories (rename is safe and reversible)
[ -e ~/.claude/skills ] && mv ~/.claude/skills ~/.claude/skills.bak
[ -e ~/.claude/agents ] && mv ~/.claude/agents ~/.claude/agents.bak
# 2. Symlink to Claude Code's skills and agents directories.
# Use ABSOLUTE paths so they resolve from any cwd.
TOOLKIT="$PWD" # run from the toolkit clone root
ln -sfn "$TOOLKIT" "$HOME/.claude/skills"
ln -sfn "$TOOLKIT/agents" "$HOME/.claude/agents"
# 3. Put the adlc CLI on your PATH (install.sh writes a shim in ~/bin).
# Either add ~/bin to PATH, or run the CLI directly:
python3 "$TOOLKIT/tools/adlc/adlc.py" doctor
# 4. Verify
readlink ~/.claude/skills # → absolute path to your adlc-toolkit clone
ls ~/.claude/skills/review/SKILL.md # should resolve through the symlink
Git commands run from inside ~/.claude/skills/ transparently operate on the clone's .git directory, so you can use either path interchangeably. Delegation (the tools/delegate/ CLIs) is a separate opt-in - ./install.sh --with-delegation or run tools/delegate/install.sh directly.
Workflow
/spec → /validate → /architect → /validate → implement → /reflect → /review → merge → /wrapup
For bugs: /bugfix (report → analyze → fix → verify → ship)
For multi-REQ batches: /sprint (parallel /proceed runners)
Project Structure
After /init, each code repo will have:
.adlc/
config.yml # Project's stack, deploy config, and (optional) sibling repo layout
context/ # Project-specific architecture, conventions, overview
specs/ # Requirement docs, architecture docs, tasks
knowledge/ # Assumptions validated, lessons learned
templates/ # Copies of templates (from this toolkit)
workflows/ # Copies of Dynamic Workflow scripts + schemas (from this toolkit)
The toolkit repo contains the process (skills + templates). Each code repo contains the artifacts (specs, architecture, knowledge).
Cross-Repo REQs
Some features span multiple repos (e.g., a feature that touches a backend API, a web frontend, and a mobile app at the same time). The toolkit supports these via the optional repos: block in .adlc/config.yml.
Key concept: "primary" is per-REQ
There is no fixed "primary repo." Whichever repo you invoke /proceed (or /bugfix) from becomes the primary for that REQ - it holds the spec, tasks, and pipeline-state.json for that work. A different REQ that originates in a sibling repo makes that sibling the primary. Every repo that may originate REQs gets its own .adlc/ structure and its own config.yml; the configs are mirror images of each other (each repo marks itself primary: true and lists the others as siblings).
config.yml shape
repos:
api:
primary: true # only in this repo's config
infrastructure:
path: ../infrastructure
app:
path: ../app
web:
path: ../web
merge_order: # default Phase 8 merge sequence
- infrastructure
- api
- app
- web
services: # consumed by /canary, keyed by repo id
api:
cloud_run_service: api
region: us-central1
image_path: us-central1-docker.pkg.dev/<gcp-project>/api/api
# (infrastructure has no service entry — it deploys via Terraform)
See templates/config-template.yml for the full annotated template (including project:, stack:, gcp:, and ios: sections).
What changes when cross-repo is configured
/proceedcreates a worktree in every touched sibling, routes tasks byrepo:frontmatter, opens one PR per repo, and merges inmerge_order/architectrequires arepo:field on every task it generates/validatechecks thatrepo:values resolve to configured repo ids and that task files stay in their declared repo/wrapupwalksmergeOrderto land PRs in order and cleans up worktrees across every touched repo/canaryresolves service metadata fromservices:instead of a hardcoded table/statusreports cross-repo activity (REQs originating elsewhere that touch this repo)/sprintdelegates cross-repo mechanics to each/proceed; one sprint still originates all REQs from the invoking repo/bugfixsupports cross-repo bugs viarepo:ortouched_repos:on the bug frontmatter
Single-repo mode (default)
If no config.yml exists or it has only a single repos: entry, every skill falls back to legacy single-repo behavior. Existing projects are unaffected until they opt in by creating config.yml.
Stack support
The toolkit's workflow is stack-agnostic. Skills that need to do stack-specific things (deploy a Cloud Run service, push a build to an iOS device, etc.) read .adlc/config.yml to learn what your stack is and what concrete values to use.
| Capability | Where the skill checks | What you fill in |
|---|---|---|
Deploy confirmation (/bugfix, /wrapup) |
stack.backends includes cloud-run |
gcp.staging_project, gcp.production_project |
Canary deploys (/canary) |
services: block |
service name, region, image path per repo |
iOS device deploys (/bugfix, /wrapup) |
stack.frontends includes ios |
ios.deploy_targets, ios.deploy_command |
Convention checking (/review, /reflect) |
.adlc/context/conventions.md |
declare your project's naming, logging, and API conventions |
If you want to add support for a new stack (e.g., AWS Lambda backends, Android device deploys), edit the relevant skill to handle the new stack.* value and document it in templates/config-template.yml. PRs welcome.
Updating
Pull the latest toolkit to update all skills across all projects:
cd "$(readlink ~/.claude/skills)"
git pull
Since ~/.claude/skills is a symlink, changes are picked up immediately.
FAQ
Common questions
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