Agent skill

Fieldworks Semantic Render Parity

by sillsdev in sillsdev/FieldWorks

Capture or review FieldWorks parity evidence: semantic snapshots, render/visual baselines, layout parity, failure artifacts, XML view definitions, and the Avalonia presentation IR.

Custom licenceAuto-check passed

Install Fieldworks Semantic Render Parity

skills CLI
$ npx skills add sillsdev/FieldWorks --skill fieldworks-semantic-render-parity -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sillsdev/FieldWorks fieldworks-semantic-render-parity --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sillsdev/FieldWorks.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/fieldworks-semantic-render-parity .claude/skills/fieldworks-semantic-render-parity && rm -rf skills-src

Use ~/.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/

Facts

Skill name
fieldworks-semantic-render-parity
GitHub stars
110
Token cost
~1.2k tokens
SKILL.md length
512 words
Files
1
Skills in repo
29
Repo updated
First seen
Licence
Custom licence

At a glance

Capture or review FieldWorks parity evidence: semantic snapshots, render/visual baselines, layout parity, failure artifacts, XML view definitions, and the Avalonia presentation IR.

  • Evaluates snapshot tests
  • SKILL.md covers Role in the migration…, Snapshot Discipline, Include and Exclude Or Normalize, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Screenshot baselines

What it does

Fieldworks Semantic Render Parity is an agent skill from sillsdev/FieldWorks. Capture or review FieldWorks parity evidence: semantic snapshots, render/visual baselines, layout parity, failure artifacts, XML view definitions, and the Avalonia presentation IR. Use whenever a task creates or evaluates snapshot tests, screenshot baselines, view-definition compilation output, or any claim that an Avalonia view matches its WinForms predecessor.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with Avalonia. The repository describes itself as: FieldWorks is a suite of software tools for language and cultural data, with support for complex scripts.

When your agent uses it

  • Evaluates snapshot tests
  • Screenshot baselines
  • View-definition compilation output
  • Any claim that an Avalonia view matches its WinForms predecessor

Example prompts

  • “/fieldworks-semantic-render-parity”

What it can do on your machine

Read from SKILL.md and the folder at commit bd0608d. 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

Fieldworks Semantic Render Parity loads about 1.2k tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 512 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~100
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 512 words (~1,174 tokens).

“Shared definitions (Path 3 bundle, evidence types, artifact naming) live in ../fieldworks-winforms-to-avalonia-migration/references/parity-evidence.md. This skill covers how to build and review the snapshots themselves.”

— opening of SKILL.md by sillsdev, Custom licence
name
fieldworks-semantic-render-parity

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/fieldworks-semantic-render-parity of sillsdev/FieldWorks.

Open the folder on GitHubat commit bd0608d

Compare with similar skills

Fieldworks Semantic Render Parity 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.

Fieldworks Semantic Render Parity compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fieldworks Semantic Render Parity this skillsillsdev/FieldWorks110—~1.2kAutomated safety check: PassCustom licence
Translation Source SyncDevolutions/UniGetUI26k—~1.2kAutomated safety check: PassMIT
Docs Style LintAvaloniaUI/avalonia-docs166—~4.6kAutomated safety check: PassNone
Format StylePixeval/Pixeval3.2k—~1.2kAutomated safety check: PassGPL-3.0
Docusaurus StylingAvaloniaUI/avalonia-docs166—~3.3kAutomated safety check: PassNone
Code StylePixeval/Pixeval3.2k—~730Automated safety check: PassGPL-3.0

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More from sillsdev/FieldWorks

All 29 skills in this repo
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  • Fieldworks Winapp

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    Control and document the FieldWorks desktop application with WinForms MCP or WinApp MCP.

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  • Convert Slice

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    Drive the conversion of one legacy slice type to the Avalonia detail view through analysis, developer alignment, integration-test planning, route/exemplar mapping, design, and scaffold/implement.

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  • Dependabot Consolidation

    sillsdev/FieldWorks

    Combine several open Dependabot pull requests into a single branch and PR: enumerate the open Dependabot PRs, cherry-pick them onto fresh main, rewrite commit messages to satisfy…

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  • Design or review FieldWorks UI automation and accessibility tests: UIA2, FlaUI, Appium, WinAppDriver, Avalonia.Headless, keyboard, focus, IME, and automation-id strategy.

    110 GitHub stars~1k tokensUpdated today
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Works with

Questions about Fieldworks Semantic Render Parity

What does Fieldworks Semantic Render Parity do?

Capture or review FieldWorks parity evidence: semantic snapshots, render/visual baselines, layout parity, failure artifacts, XML view definitions, and the Avalonia presentation IR. Fieldworks Semantic Render Parity is an agent skill from sillsdev/FieldWorks. Capture or review FieldWorks parity evidence: semantic snapshots, render/visual baselines, layout parity, failure artifacts, XML view definitions, and the Avalonia presentation IR.

When should I use Fieldworks Semantic Render Parity?

Fieldworks Semantic Render Parity fits situations like: evaluates snapshot tests; screenshot baselines; view-definition compilation output; any claim that an Avalonia view matches its WinForms predecessor.

How do I install Fieldworks Semantic Render Parity in Claude Code?

Run `npx skills add sillsdev/FieldWorks --skill fieldworks-semantic-render-parity -a claude-code`. Or copy the skill folder (.claude/skills/fieldworks-semantic-render-parity in sillsdev/FieldWorks) into .claude/skills/fieldworks-semantic-render-parity in your project. Claude Code loads it when a task matches its description.

How do I install Fieldworks Semantic Render Parity in Codex?

Run `npx skills add sillsdev/FieldWorks --skill fieldworks-semantic-render-parity -a codex`. Or copy the skill folder (.claude/skills/fieldworks-semantic-render-parity in sillsdev/FieldWorks) into .agents/skills/fieldworks-semantic-render-parity in your project. Codex loads it when a task matches its description.

Can I use Fieldworks Semantic Render Parity 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 sillsdev/FieldWorks --skill fieldworks-semantic-render-parity -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fieldworks-semantic-render-parity, .gemini/skills/fieldworks-semantic-render-parity, .github/skills/fieldworks-semantic-render-parity and .opencode/skills/fieldworks-semantic-render-parity in your project.

What does Fieldworks Semantic Render Parity need to run?

SKILL.md names no scripts, command-line tools or credentials: Fieldworks Semantic Render Parity is instructions for the agent only.

Does Fieldworks Semantic Render Parity 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 Fieldworks Semantic Render Parity 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 Fieldworks Semantic Render Parity use?

Fieldworks Semantic Render Parity has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Fieldworks Semantic Render Parity use?

About 1.2k tokens (SKILL.md is roughly 4.7k 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 Fieldworks Semantic Render Parity?

Skills that share tags, products or a category with Fieldworks Semantic Render Parity: Translation Source Sync (Devolutions/UniGetUI, 26k stars), Docs Style Lint (AvaloniaUI/avalonia-docs, 166 stars), Format Style (Pixeval/Pixeval, 3.2k stars) and Docusaurus Styling (AvaloniaUI/avalonia-docs, 166 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fieldworks Semantic Render Parity?

sillsdev (a GitHub organization) maintains it in sillsdev/FieldWorks, which has 110 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on October 9, 2026.

Source: sillsdev/FieldWorks on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.