skillstead

by kyungseoVerified

Practical, portable skills for agentic coding workflows — clearer diagrams, checked claims, safer GitHub releases, natural EN↔KO writing.

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8/24/2026
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⚠️ Third-Party Software Notice

This skill is third-party open-source software developed and hosted independently on GitHub. SkillTip is an informational directory and does not control or maintain the underlying repository. Any security checks displayed are automated and limited in scope. Review the source code before installing.

Read the Terms of Service

Installation

Add to your Claude Code skills directory:

# Add to your Claude Code skills
git clone https://github.com/kyungseo/skillstead

Getting Started

Guides for using skills like skillstead.

Security Report

Verified

Last scanned: —

{
  "status": "PASSED",
  "issues": []
}

README.md

Skillstead

English · 한국어

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

[!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.

Highlights

Explore the SVG gallery

Six outputs from svg-infographic: a cloud topology, a branching swimlane, a decision matrix, nested trust rings, a before-and-after migration, and a sketch-treatment system map

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

Independent Skillstead skills connected across a practical project and release path

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.

Choose a skill

SkillBest forVersionRuntime supportMaturity
svg-infographicTurning architecture notes, process flows, comparisons, and technical concepts into editable SVG + verified 2× PNG0.11.0Supported: Claude Code + CodexStable
docs-claim-checkChecking whether public documentation claims are supported by supplied evidence0.9.1Claude CodeBeta
github-release-guideGuiding a private repository's first public transition and every later version release, with separate approval before each change0.9.0Supported: Claude Code + CodexStable
writing-quality-editorComposing and revising user-facing text, plus natural English↔Korean adaptation, without inventing or changing facts, intent, voice, or operational constraints0.12.0Supported: Claude Code + CodexBeta

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.

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.

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.

Assess checks the repository without changing it and returns Ready, Needs attention or Blocked; Guided starts only when all three entry conditions are met; either mode works on the first-public or version-release profile

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.

In Guided each change is previewed and rechecked, then takes execution approval only when a command must run, always takes mutation approval, applies only what was previewed, and verifies the observed result before continuing or stopping

  • 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 can start generic, over-structured, or translated sentence by sentence. writing-quality-editor composes new documents directly from reliable briefs or reviewed public sources and improves existing prose so it reads like careful work by a skilled writer or editor while preserving facts, intent, author voice, commands, conditions, limitations, risks, and next actions.

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: 33 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.

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.

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.
  • 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.

Frequently Asked Questions

What is skillstead?

skillstead is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by kyungseo. Practical, portable skills for agentic coding workflows — clearer diagrams, checked claims, safer GitHub releases, natural EN↔KO writing. It has 69 GitHub stars.

Is skillstead safe to use?

Yes. skillstead passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install skillstead?

Clone the repository with "git clone https://github.com/kyungseo/skillstead" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is skillstead written in?

skillstead is primarily written in Python. It is open-source under kyungseo on GitHub, so you can review or fork the full source.

Are there alternatives to skillstead?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh skillstead against similar tools.

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