Skillstead

English · 한국어

Practical, portable skills for agentic work — create clearer artifacts, check public claims, guide safer GitHub releases, turn rough or translated text into natural, precise writing, and interpret portraits.

[!TIP] Skillstead = skill + homestead. A small, durable place for skills that coding agents can carry into real repositories. Each public support claim is tied to examples and runtime evidence.

Start here

1. Choose one skill for the task in front of you. Each skill works independently.
2. Follow the installation guide to copy that skill's complete folder at a pinned version.
3. Open the skill's README, copy a request that is close to your task, and adapt it to your material.
4. Check the skill's stated limits before relying on the result in a release or other consequential workflow.

Looking for a particular guide? The documentation index separates user guides from maintainer references.

Choose a skill

Skill	Best for	Version	Runtime support	Maturity
svg-infographic	Turning architecture notes, process flows, comparisons, and technical concepts into editable SVG + verified 2× PNG	0.11.1	Supported: Claude Code + Codex	Stable
docs-claim-check	Checking whether public documentation claims are supported by supplied evidence	0.9.2	Claude Code	Beta
github-release-guide	Guiding a private repository's first public transition and every later version release, with separate approval before each change	0.9.1	Supported: Claude Code + Codex	Stable
writing-quality-editor	Composing and revising user-facing text, plus natural English↔Korean adaptation, without inventing or changing facts, intent, voice, or operational constraints	0.14.1	Supported: Claude Code + Codex	Beta
street-portrait-artist	Creating a caricature or pen-and-watercolor portrait from the face shape and expression in supplied photos	0.1.2	Supported: ChatGPT + Codex	Experimental

Each skill is self-contained and can be installed independently. You do not need to install the entire catalog—copy only the complete folder for the skill you want to use. See docs/INSTALL.md for global/project paths, pinned tags, clean updates, Windows commands, and the per-skill runtime matrix.

The Version column above is per skill, not a catalog version. See docs/VERSIONING.md for what it means and how it changes.

For more examples—including natural requests, the WQE shorthand, and requests that involve more than one skill—see the repository-only intent and invocation contract.

GitHub's Latest badge identifies the most recently published individual skill release. It does not represent a catalog version.

Highlights

Explore the SVG gallery

svg-infographic covers more than conventional architecture boxes. The six above were chosen for how differently they are shaped; they clear the lint, layout and typography gates, and they predate the TypePack receipts, so no receipt is claimed for them. The gallery behind the image carries the nine TypePacks with their receipts alongside these. The contact sheet intentionally keeps an English evidence frame around the locale-specific artifacts; the live gallery localizes the full page. Open the live gallery, or browse the legacy examples and the verified TypePack catalog.

Use one skill—or combine them across a release

Each skill installs and works independently. When a project needs a wider path, use writing-quality-editor for clear prose, svg-infographic for visual explanation, docs-claim-check for evidence-bounded public claims, and github-release-guide for approval-gated release decisions. This is not a required pipeline: start with the skill you need, skip the others, and recheck an earlier artifact when it changes. street-portrait-artist is a separate creative workflow for character portraits from supplied references; it does not need to participate in that release path.

Skill details

svg-infographic

Technical diagrams often begin as prose and end as hard-to-edit screenshots. svg-infographic computes a layout before drawing, authors structured SVG, checks the source, then exports a dimension-verified 2× PNG.

Use it for architecture and cloud topology, process or approval flows, before/after migrations, roadmaps, layer models, qualitative matrices, and Korean/CJK-ready technical one-pagers.

• Friendly guide: svg-infographic README
• Live gallery: featured outputs and the verified TypePack catalog
• Examples: legacy examples and the verified TypePack catalog
• Name the skill: Use svg-infographic to turn this migration plan into an editable technical infographic.
• Or ask naturally: Turn this migration plan into an editable technical SVG and verified 2× PNG. Show the output path before creating files.

docs-claim-check

Release-facing docs can sound certain even when their evidence is partial or stale. docs-claim-check splits objective statements into atomic claims and labels each one verified, unsupported, stale-suspected, or needs-human within an explicit reviewed-input scope.

Use it before publishing a README, install guide, release note, or announcement. It is advisory only: the contract runs no commands during assessment and does not generate fixes, code review, or security verdicts.

• Friendly guide: docs-claim-check README
• Validation material: synthetic AcmeTask fixture and worked assessment
• Name the skill: Use docs-claim-check to assess these release-note claims against the supplied tag and CI evidence.
• Or ask naturally: Check whether these README claims are supported by the evidence below. Report findings only; do not rewrite the document.

github-release-guide

GitHub releases combine documentation work with changes to visibility, branches, tags, settings, and GitHub Releases that can be difficult to undo. github-release-guide first checks readiness without changing the repository. It then shows each proposed change, checks the current state again, and asks for approval in two distinct scopes — running a repository command, and changing the repository — before verifying the result and moving on.

V1 can be used at two points: when an existing private github.com repository becomes public for the first time, and whenever that public repository publishes a new version afterward. It does not bootstrap repositories, publish packages, sign binaries, deploy cloud services, claim a security audit, force-push, or rewrite history.

First, pick the mode. Assess inspects without changing anything; Guided starts only after Assess is complete, release-critical blockers are resolved, and you explicitly choose to switch.

Then, in Guided, one change at a time. Approval is asked in two distinct scopes: running a command is approved separately from changing the repository, and neither implies the other.

• Friendly guide: github-release-guide README
• Validation material and diagrams: synthetic scenarios, answer key, and worked outputs
• Natural readiness check: Check whether this public GitHub repository is ready for its next version release. Inspect only and do not change it.
• Assess example: Use github-release-guide in Assess mode for this public repository's upcoming version release.
• Guided example: Use github-release-guide in Guided mode to prepare this private repository for first publication. Start with Assess, then show only the first proposed change. Do not change the repository until I approve that exact step.
• Safety boundary: immediately before a repository becomes public, the guide explains what cannot be undone and asks the user to approve that visibility change separately. The release decision remains with the user.

writing-quality-editor

writing-quality-editor writes new text from notes and evidence or makes existing prose easier to understand. Its editing rules require preserving facts, intent, author voice, commands, conditions, limitations, risks, and next actions. Those rules do not make every result natural or accurate; important writing still needs a final review.

For wording and naturalness requests, it now starts with the smallest complete span that has a concrete reader problem and leaves the surrounding text unchanged. Ambiguous discretion, approval, or notification wording stays unchanged for human judgment while other safe edits continue.

Its Adapt mode rewrites between English and Korean for the target-language reader instead of copying the source sentence structure. It may change information order, sentence rhythm, idioms, and explanation density, but it does not invent claims or hide ambiguity. AI-detector gaming and provenance concealment are explicit non-goals.

• Friendly guide: writing-quality-editor README
• Validation material: 36 scenarios and a separate answer key
• Name the skill: Use writing-quality-editor to make the document below read naturally. Preserve its core facts, conditions, and requirements.
• Use the shorthand: Use WQE to review this onboarding guide. Identify problems, but do not revise it yet.
• Or ask naturally: Review this README. Do not revise the prose yet. · Write a new README using only information supported by the material below. · Rewrite this English release note so it reads naturally to Korean readers. Preserve its meaning and conditions.
• Specify a mode only when needed: Use writing-quality-editor in Assess mode to review this release note. Do not draft revisions.

street-portrait-artist

street-portrait-artist studies face shape, feature spacing, expression, and the main distinguishing feature before drawing. It uses those observations for a kind, near-monochrome Street Caricature or a pen-and-watercolor Romance Watercolor portrait. Both are designed to retain the same person’s recognizable features.

Provide one or more clear portrait references. Supplied portraits, analysis, and outputs remain task-scoped unless the user separately asks to publish or retain them.

• Friendly guide: street-portrait-artist README
• Public-safe gallery: two synthetic Twin Portrait examples
• Name the skill: Use street-portrait-artist to make a kind Street Caricature from my attached portrait.
• Or ask naturally: Turn this portrait into a delicate pen-and-watercolor character portrait. Keep the jaw, hairline, and expression recognizable.

Playbooks (maintainer reference)

playbooks/public-release contains the canonical public-release playbook: generic checklists and templates for taking a private repository public and verifying it afterward. These are reference documents for maintainers — not installable skills, and installing any skill never requires them. The github-release-guide skill mirrors the playbook's rules inside its own self-contained package. English is canonical, and each document has a Korean mirror with the .ko.md suffix. Update both languages in the same pull request whenever the meaning changes.

playbooks/skill-development defines the repository standard for designing, validating, independently reviewing, releasing, and retiring a skill. Its package template is deliberately non-installable until the reserved sample-skill identity is replaced. The tracked retirement and major-transition evidence enforced by the release gates is specified in docs/VALIDATION.md.

Quality and evidence bar

Every public skill must have:

• a clear description of what it does and does not do,
• synthetic, non-client validation material,
• runtime support and maturity labels limited to what was actually tested,
• public paths free of credentials, private provenance, and host-specific data,
• and a repeatable validation path appropriate to its output.

Runtime support is per skill, not catalog-wide.

svg-infographic has passed the same three frozen, fresh-context briefs on Claude Code and Codex. The checks covered project-local discovery, source lint before rendering, exact 2× browser export, Korean/CJK text, containment, connector semantics, and fail-closed recovery when browser launch crossed a sandbox boundary. Codex evidence includes macOS Codex CLI and a fresh Codex App task in a Windows 11 ARM64 VM. It is Supported for Claude Code and Codex within that recorded evidence scope.

github-release-guide has passed clean Claude Code/Codex material-parity checks, the disposable first-public live E2E, pinned v0.5.0 project installation and discovery smoke, and the final strict claim audit. It is Supported for Claude Code and Codex within that recorded evidence scope.

writing-quality-editor has passed its four-mode behavior set, repository dogfood, and fresh installation and skill discovery from the published v0.7.0 tag. It is Supported for Claude Code and Codex within that recorded evidence scope; maturity remains Beta. The new Korean drafting path in 0.14.0 has only been checked through explicit local package loading. Post-install automatic discovery and other runtimes remain unverified for this change. See the WQE guide for results and known failures.

street-portrait-artist has two public-safe synthetic Twin Portrait cases that document its intended visual direction and privacy boundary. Fresh installations of the published 0.1.0 package were then discovered and invoked in ChatGPT and Codex with synthetic portrait input, reference-image generation, fail-visible size fallback, and output delivery. Both runtimes are Supported within that recorded scope. Maturity remains Experimental because likeness and the refined visual behavior have not passed a broad cross-subject regression set.

Current limitations

• svg-infographic browser rendering is verified on macOS and in the recorded Windows 11 ARM64 VM. This does not claim every Windows machine or filesystem; Linux rendering remains documented but unverified.
• docs-claim-check is advisory and evidence-bound; it does not execute verification commands.
• github-release-guide v1 is github.com-only. It covers the one-time private-to-public transition and each version release after the repository is public.
• For github-release-guide, a clean assessment only means that no issue was found within the inspected scope; it does not prove that the repository being assessed has no secrets, private information, or security risks.
• writing-quality-editor is designed as locale-neutral, but its initial localization fixtures cover only English↔Korean (ko-KR for Korean output). Other locale pairs are not yet claimed as behaviorally validated.
• street-portrait-artist likeness and image quality remain non-deterministic, exact pixel export depends on the active image surface, and final artwork requires human review. The recorded ChatGPT and Codex support does not promise exact dimensions or consistent visual quality across different image-generation runs.
• Agent output is non-deterministic. writing-quality-editor defaults to local-first edits and holds ambiguous wording for review, but it cannot guarantee that every run avoids preference-driven changes outside the marked spans. Review the final delta before publishing or relying on an important document.

License

Apache-2.0.