Gen Plan
alibaba/atrex-kernel-agent
Generate a structured implementation plan from an evidence draft.
A skill your agent uses when managing mission brief intake — triage, AI-assisted advisory scoring, gating label stamping, and milestones or epics generation (plan mode).
Install Factory Queue
$ npx skills add tikalk/adlc-team-skills --skill factory-queue -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tikalk/adlc-team-skills factory-queue --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-queue .claude/skills/factory-queue && rm -rf skills-srcUse ~/.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/
Install the "factory-queue" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/factory/factory-queue into .claude/skills/factory-queue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "factory-queue", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/tikalk/adlc-team-skills/tree/main/skills/factory/factory-queueType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add tikalk/adlc-team-skills --skill factory-queue -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tikalk/adlc-team-skills factory-queue --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tikalk/adlc-team-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/factory/factory-queue .agents/skills/factory-queue && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "factory-queue" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/factory/factory-queue into .agents/skills/factory-queue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "factory-queue", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add tikalk/adlc-team-skills --skill factory-queue -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tikalk/adlc-team-skills factory-queue --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tikalk/adlc-team-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/factory/factory-queue .cursor/skills/factory-queue && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "factory-queue" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/factory/factory-queue into .cursor/skills/factory-queue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "factory-queue", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/tikalk/adlc-team-skills.git --path skills/factory/factory-queue--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add tikalk/adlc-team-skills --skill factory-queue -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tikalk/adlc-team-skills factory-queue --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tikalk/adlc-team-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/factory/factory-queue .gemini/skills/factory-queue && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "factory-queue" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/factory/factory-queue into .gemini/skills/factory-queue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "factory-queue", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install tikalk/adlc-team-skills factory-queueInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add tikalk/adlc-team-skills --skill factory-queue -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tikalk/adlc-team-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/factory/factory-queue .github/skills/factory-queue && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "factory-queue" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/factory/factory-queue into .github/skills/factory-queue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "factory-queue", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add tikalk/adlc-team-skills --skill factory-queue -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tikalk/adlc-team-skills factory-queue --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tikalk/adlc-team-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/factory/factory-queue .opencode/skills/factory-queue && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "factory-queue" agent skill from https://github.com/tikalk/adlc-team-skills/tree/main/skills/factory/factory-queue into .opencode/skills/factory-queue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "factory-queue", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
factory-queue- GitHub stars
- 141
- Token cost
- ~1.3k tokens
- SKILL.md length
- 602 words
- Files
- 1
- Skills in repo
- 44
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when managing mission brief intake — triage, AI-assisted advisory scoring, gating label stamping, and milestones or epics generation (plan mode).
- Works in 2 steps: Ingestion & Triage Mode (default) → Plan Mode
- Managing mission brief intake — triage
- SKILL.md covers What this skill does, When to use, Operating Modes and Invariants & Safety Constraints
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Factory Queue is an agent skill from tikalk/adlc-team-skills. Use when managing mission brief intake — triage, AI-assisted advisory scoring, gating label stamping, and milestones or epics generation (plan mode).
Its SKILL.md is about 1.3k 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 Agent Workflows, covering Planning, User stories and Project management. 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
- Managing mission brief intake — triage
- AI-assisted advisory scoring
- Gating label stamping
- Epics generation (plan mode)
Example prompts
- “/factory-queue”
Workflow steps
2 steps, taken from the step headings in SKILL.md.
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.
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 Queue loads about 1.3k tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 602 words of instructions outside code blocks.
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). 602 words, ~1,264 tokens.
Download SKILL.mdSave it as
.claude/skills/factory-queue/SKILL.md (or your agent's skills folder).- name
- factory-queue
- description
- Use when managing mission brief intake — triage, AI-assisted advisory scoring, gating label stamping, and milestones or epics generation (plan mode).
factory-queue
What this skill does
factory-queue manages the ingestion, triage, and planning boundaries of the software factory. It operates directly against the external issue tracker (the Queue) as the single source of truth using the tracker-agnostic integration layer (factory-mission/references/tracker-integration.md).
It performs two primary control-plane operations:
- Advisory Triage & Ingestion (default
triagemode): Pulls un-triaged candidate briefs, runs stateless AI triage scoring, presents the Intent Gate to the human, and stamps gating/dispatch labels. - Product Planning (
planmode): Reads accepted product/architecture decisions and the PRD/AD, generates milestones (done-means) and epics, and pushes them as structured, labeled issues to the Q.
When to use
- At product intake, to triage candidate briefs and approve them for execution.
- After a product/architect lifecycle converges, to decompose the specification into prioritized tracker issues.
- You want to run an advisory-only Intent Gate with automatic label transition gating.
When NOT to use:
- For inner-loop feature execution (use
factory-missioninstead). - As a standalone markdown generator (this requires issue-tracker connectivity).
Operating Modes
1. Ingestion & Triage Mode (default)
Operates on candidate issues (labeled intent) or local draft briefs:
- Pull Candidate Briefs: Discover the active tracker provider and fetch issues with status
intent(factory-mission/references/tracker-integration.md). - AI Triage Scoring: Compute stateless advisory scores on three dimensions:
- Risk: Blast radius, data sensitivity, and architectural impact (Low / Medium / High).
- Complexity: Scope and cross-service dependencies (Low / Medium / High).
- Agent Confidence: Estimation of end-to-end execution success (0-100%, High/Medium/Low bands).
- Intent Gate Presentation: Present candidate briefs + advisory scores to the human. If running unattended (no active human terminal), publish the Intent Gate presentation and AI scores as a structured comment with marker
<!-- factory-queue:triage:proposal -->on the candidate issue. The queue run pauses. The human reviews the proposal, and approves by commenting "approve" or changing the label tospec-gated. When resumed, the queue reads the comment/label state and continues. The Human Intent Gate is non-negotiable; no brief is auto-approved or auto-rejected. - Label Stamping:
- On approval: Transition lifecycle label
intent──►spec-gated. Stamp automation-gating (agent-can-executeorhuman-required) and dispatch (autonomous|supervised|interactive) labels. - On rejection: Transition
intent──►cancelled(or delete draft). - On deferral: Move to backlog.
- On approval: Transition lifecycle label
Show full SKILL.md (256 more words)Show less
2. Plan Mode
Operates post-lifecycle convergence to populate the backlog:
- Load Artifacts: Read accepted PDRs + ADRs and the generated
docs/adlc/product/PRD.md/docs/adlc/architect/AD.md. When no team record-class index was injected at session start, read the binding records directly fromdocs/adlc/memory/(ADR-401 dual-read order:docs/adlc/memoryfirst, legacy.adlc/memoryfallback) and state that fallback in one line. - Generate Milestones & Epics: Extract sequencing, requirement groupings, and "done-means" definitions into prioritized epics and milestones. Gate/task issues MUST use the mission-brief format — Goal / Constraints / Non-Goals / Success Criteria (each criterion with a measurement method) — per the canonical template in
factory-mission'sreferences/mission-brief-template.md. Milestone descriptions carry the demo sentence + done-means (milestones are grouping containers, not executable units). Issue titles are short work-item names;[Gx]/Mx:prefixes are forbidden (milestone assignment carries grouping; descriptions carry references). - Deduplication Check: Fetch existing issues to match task summaries and prevent duplicates.
- Push to Q: Push epics and milestone issues to the tracker via MCP. Stamp appropriate automation-gating and dispatch labels on each generated issue based on AI triage.
- Output: Write a versioned
docs/adlc/product/roadmap.mdlinking the local spec elements to the newly created external tracker issues.
Invariants & Safety Constraints
- Stateless: The platform holds no queue state of its own. All queries and mutations are performed live via the tracker's MCP/CLI connectors.
- Dry-Run Gating: No tracker write may occur without dry-run confirmation. The skill must output a detailed preview of all issues, comments, or label changes, requiring the user to explicitly confirm before execution.
- Advisory Scores: Scores are advisory metadata and never bypass human gates.
© 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-queue of tikalk/adlc-team-skills.
Open the folder on GitHubat commit 2dbed36
Compare with similar skills
Factory Queue 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Factory Queue this skilltikalk/adlc-team-skills | 141 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Gen Planalibaba/atrex-kernel-agent | 161 | — | ~3.4k | Automated safety check: Pass | MIT | |
| Code Task Generatormikeyobrien/ralph-orchestrator | 3.2k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Autospec Tasksariel-frischer/autospec | 144 | — | ~2.5k | Automated safety check: Pass | MIT | |
| AI Project ManagerChrisTitusTech/titus-ai | 146 | — | ~700 | Automated safety check: Pass | None | |
| Notion Spec To Implementationrongxinzy/RongxinAI | 154 | 2 repos | ~2.2k | Automated safety check: Pass | AGPL-3.0 |
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Related
Questions about Factory Queue
What does Factory Queue do?
A skill your agent uses when managing mission brief intake — triage, AI-assisted advisory scoring, gating label stamping, and milestones or epics generation (plan mode). Factory Queue is an agent skill from tikalk/adlc-team-skills. Use when managing mission brief intake — triage, AI-assisted advisory scoring, gating label stamping, and milestones or epics generation (plan mode).
When should I use Factory Queue?
Factory Queue fits situations like: managing mission brief intake — triage; AI-assisted advisory scoring; gating label stamping; epics generation (plan mode).
How do I install Factory Queue in Claude Code?
Run `npx skills add tikalk/adlc-team-skills --skill factory-queue -a claude-code`. Or copy the skill folder (skills/factory/factory-queue in tikalk/adlc-team-skills) into .claude/skills/factory-queue in your project. Claude Code loads it when a task matches its description.
How do I install Factory Queue in Codex?
Run `npx skills add tikalk/adlc-team-skills --skill factory-queue -a codex`. Or copy the skill folder (skills/factory/factory-queue in tikalk/adlc-team-skills) into .agents/skills/factory-queue in your project. Codex loads it when a task matches its description.
Can I use Factory Queue 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-queue -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-queue, .gemini/skills/factory-queue, .github/skills/factory-queue and .opencode/skills/factory-queue in your project.
What does Factory Queue need to run?
SKILL.md names no scripts, command-line tools or credentials: Factory Queue is instructions for the agent only.
Does Factory Queue 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 Queue 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 Queue use?
Factory Queue 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 Queue use?
About 1.3k tokens (SKILL.md is roughly 5.1k 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 Queue?
Skills that share tags, products or a category with Factory Queue: Gen Plan (alibaba/atrex-kernel-agent, 161 stars), Code Task Generator (mikeyobrien/ralph-orchestrator, 3.2k stars), Autospec Tasks (ariel-frischer/autospec, 144 stars) and AI Project Manager (ChrisTitusTech/titus-ai, 146 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Factory Queue?
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.