> 🧩 **What this is:** a super-skill is a *composite workflow* — an ordered DAG of > **existing leaf skills** for an end-to-end task (e.g. `mzML → annotation`). It is > generated from a short **skeleton** (stages + goals + preferred leaf skills) by > the ASB factory, not hand-written. It reuses leaves; it does not add new ones. > To add a *new tool/paper*, file a [Propose a paper](./propose-paper.md) instead.
Scanned 9/12/2026
Install to Claude Code
npx -y skills add HolobiomicsLab/asb-skill-collections --skill ISSUE_TEMPLATE --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of ISSUE TEMPLATE?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/holobiomicslab-issue-template-22475b10)More formats (shields.io, HTML) on the badges page.
---
name: Propose a super-skill
about: Propose a composite workflow super-skill (a DAG of existing leaf skills)
title: "Propose super-skill: <short name>"
labels: ["propose-superskill", "needs-triage"]
---
> 🧩 **What this is:** a super-skill is a *composite workflow* — an ordered DAG of
> **existing leaf skills** for an end-to-end task (e.g. `mzML → annotation`). It is
> generated from a short **skeleton** (stages + goals + preferred leaf skills) by
> the ASB factory, not hand-written. It reuses leaves; it does not add new ones.
> To add a *new tool/paper*, file a [Propose a paper](./propose-paper.md) instead.
## Super-skill
- **Name:** <!-- e.g. untargeted-lcmsms-annotation -->
- **One-line goal:** <!-- the end-to-end task it accomplishes -->
- **Target collection / version:** <!-- e.g. metabolomics/v2, or "next" -->
- **Techniques / platforms:** <!-- e.g. LC-MS/MS, DDA; or NMR 1D/2D -->
## Stages (the skeleton outline)
List the ordered stages. For each: the goal, and the **leaf skill(s)** it should
use (by slug from `skills_index.json`) plus any tools. Earlier stages feed later
ones. Aim for 4–8 stages.
| # | Stage goal | Preferred leaf skill(s) / tools | Feeds stage(s) |
|---|---|---|---|
| 1 | <!-- e.g. preprocess raw files --> | <!-- e.g. xcms-peak-picking --> | 2 |
| 2 | <!-- e.g. quality control --> | <!-- ... --> | 3 |
| … | | | |
## Grounding
<!--
Which source papers / DOIs back this pipeline as a recognized end-to-end method?
Each stage's leaves already carry their own DOIs; cite the papers that justify the
*overall* workflow shape (a protocol/review/benchmark), if any.
-->
## Rationale
<!--
3-6 sentences: why this workflow, who runs it, what agent task / benchmark it
enables, and how it differs from existing super-skills in the collection.
-->
## Proposer
- **GitHub:** <!-- @your-handle -->
- **ORCID (optional but recommended):** <!-- 0000-0000-0000-0000 -->
- **Affiliation (optional):**
## Conflicts of interest
- [ ] I authored a paper grounding a stage of this workflow
- [ ] I maintain a tool used by this workflow
- [ ] None of the above
<!-- COI doesn't disqualify a proposal — it just gets disclosed for transparency. -->
## Checklist for the curator reviewing this proposal
(For maintainers; leave unchecked when filing.)
- [ ] Every preferred leaf slug resolves in the target `skills_index.json`
- [ ] Stages form a valid DAG (no cycles, no dangling feeds)
- [ ] No leaf appears in two stages (de-collision)
- [ ] Scientific ordering is sound (a domain reviewer signed off)
- [ ] Not a duplicate of an existing super-skill
- [ ] Skeleton authored under `skeletons/<collection>/<slug>.yaml`
- [ ] Generated with `compose_workflows.py`; passes `validate_workflows.py`
- [ ] Decision: accept / reject / defer-pending-info
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!