>- Cut a software release and maintain a tiered compatibility policy. Use when the user wants to release, ship a version, bump the version, tag a release, write a changelog, or update COMPATIBILITY. Config-driven via release.config.json; bumps version files, runs a readiness gate, updates COMPATIBILITY.md tiers and deprecations, tags (→ release workflow), and reports closed issues. Teaches the underlying standards as it runs.
npx skills add https://github.com/glebis/claude-skills --skill release
For the Cull repository, use $cull-release; Cull's repository-enforced state,
artifact, updater, and Homebrew gates are stricter than this generic workflow.
A config-driven release orchestrator. Mechanics live in scripts/release.py
(unit-tested, stdlib-only); this file is the workflow you (or an agent) follow.
Read reference/config-schema.md for release.config.json and
reference/standards.md for *why* each step exists.
> Scope honesty: reference-tested on a Tauri + Rust + SvelteKit repo (Cull).
> Other stacks are supported *by config*, not yet validated. Treat first runs on
> a new stack as a dry run (see "Dry run" below) until you trust it.
The user says "release", "ship it", "cut a version", "bump version", "tag a
release", "update the changelog/COMPATIBILITY". Requires a release.config.json
at the repo root (scaffold from templates/release.config.json.tmpl).
A version only means something once you declare *what you promise to keep
working*. release.config.json → surfaces[] is that declaration; each surface
has a tier (experimental → preview → stable) and a compatibility mode.
Only stable surfaces carry the promise. Breaking a stable surface forces a
major bump — the engine enforces this. (Standards: see reference/standards.md.)
/release <patch|minor|major> — run the steps below. On an unfamiliar repo, do a
dry run first (see below). When the user asks to "explain", expand each step's
*why* into a short lesson from reference/standards.md.
releaseBranch (default main, inworktree if set) is checked out, clean, and synced with origin. Abort
clearly otherwise. — *why: a release tag must point at a known-good, pushed tree.*
python3 scripts/release.py --config <cfg> plan <kind> prints thenew version + tag. It asserts the version files currently agree. Show old → new.
— *why: SemVer math; 0.x lets minors break (pre-1.0).* [[Semantic Versioning (SemVer)]]
cfg.gate then each cfg.extraGate[]. All must exit 0(fmt, clippy, tests, license audit, prod build, golden contract tests). Block on
failure. — *why: this is a Production-Readiness Review.* [[Production Readiness Review]]
(git log <lastTag>..HEAD --format=%s) and draft a section — the engine's
draft_changelog buckets them into Added/Changed/Fixed (Keep a Changelog).
Insert under the top of CHANGELOG.md; hand-curate the user-facing lines.
— *why: humans read changelogs; conventional commits seed them.* [[Keep a Changelog]]
cfg.compatibility.path (COMPATIBILITY.md). Ask:stable surface? If yes, the required bump ismajor — re-run with major or the release is invalid. (Enforced by
enforce_bump.) Stamp "Last updated: <new version> (<date>)".
— *why: tiers + deprecation windows are how you evolve without lying.* [[Kubernetes API Deprecation Policy]]
python3 scripts/release.py --config <cfg> bump <kind> writesevery version file; refresh cfg.lockfiles (e.g. cargo update -p <crate> or a
build). Commit chore(release): v<new> including CHANGELOG + COMPATIBILITY.
git tag v<new> and push the tag (→ the repo's releaseworkflow) and the branch. Confirm the tag trigger exists *before the first
release* (grep -A3 '^on:' .github/workflows/*.yml).
last tag (if cfg.issueTracker is set, e.g. bd) — those are the release notes.
There is no --dry-run flag — a dry run is steps 1–5 done *without mutating*:
run python3 scripts/release.py --config <cfg> plan <kind> (pure: prints the
version/tag, writes nothing) and optionally run cfg.gate to check readiness.
Do NOT run bump, commit, or tag. The bump subcommand is the only engine
command that writes (version files only); commit/tag/push are git steps you take
in step 6–7, never the engine.
plan → run gate → edit CHANGELOG + COMPATIBILITY → bump → commit → tag → push.
The engine is just scripts/release.py; everything else is git.
The readiness gate runs *golden/contract tests* (cfg.extraGate). Start with one
(a DB round-trip), then add export and API contract tests. See the consuming
repo's docs/CONTRACTS.md and reference/standards.md. [[Pact — Consumer-Driven Contract Testing]]
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take glebis/release from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.