Is the Classify Temp Entries To Section skill free?

Yes. The skill itself is free from kimtth/azure-openai-llm-wiki. SkillProof publishes the install command and an independent test verdict at no cost.

What is the Classify Temp Entries To Section SkillProof Score?

8.8/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 7/10, docs & honesty 5/5.

How do I install Classify Temp Entries To Section?

Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.

Can I use Classify Temp Entries To Section with Cursor, Copilot, Gemini CLI, Codex or other AI tools?

The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.

Classify Temp Entries To Section

Sorts staged temp_entries.md items into the right wiki section files, alphabetized and tracked

by kimtth · kimtth/azure-openai-llm-wiki

Tested · Works

Install — copy the command Download source ↗

Test report

Verdict: Tested · Works
Score: 8.8/10
Tested: Jul 21, 2026
Environment: Claude Code 2.x (agent harness)

⚠ This skill is no longer available upstream. Our re-check on Aug 10, 2026 couldn't find it any more (SKILL.md not found in repo tree). The test below is what we measured on Jul 21, 2026 and we're leaving it up as a record — but there is nothing left to install, so we've removed the command.

Fetched SKILL.md via GitHub raw; frontmatter parses with name+description and no scripts are referenced. Verified all five target section files (azure/applications/models_research/best_practices/tools_extra.md) return HTTP 200; temp_entries.md is 404 by design as a transient staging file. Built a mini temp_entries.md with two entries titled for tools_extra.md's "Dataset Catalogs and Collections", plus a small section file, then produced a baseline (naive append, no bookkeeping) and a skill-followed version. Diff showed two concrete skill-driven differences: the skill inserted the entries in alphabetical order by entry name (Awesome/BigData before LLMDataHub/Open) rather than appending at the end, and it added the checkmark marker to both processed entries in temp_entries.md, which the baseline left unmarked.

Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works

Installs cleanly 5/5
Triggers reliably 5/5
Output vs. baseline 7/10
Docs & honesty 5/5

What Classify Temp Entries To Section does

A repo-specific workflow skill for the azure-openai-llm-wiki knowledge base: it classifies formatted entries sitting in temp_entries.md into the correct section markdown file (azure.md, applications.md, models_research.md, best_practices.md, tools_extra.md) under the matching live heading, keeps each section alphabetically ordered by entry name, and marks processed entries with a checkmark. Triggers when you have staged entries in temp_entries.md to file into section documents; explicitly not for adding new entries to temp_entries.md or moving entries between existing sections.

How to install Classify Temp Entries To Section

Nothing to install: the source repository no longer has this skill. If the author brings it back, our daily re-check will pick it up and the command will reappear here.

Commands — how to trigger Classify Temp Entries To Section

/classify-temp-entries-to-section Sorts staged temp_entries.md items into the right wiki section files, alphabetized and tracked

It also activates on plain-language prompts like these:

Classify these temp entries into their sections
Sort temp_entries.md into the right markdown files
File the new wiki entries by topic

Frequently asked questions

Is the Classify Temp Entries To Section skill free?: Yes. The skill itself is free from kimtth/azure-openai-llm-wiki. SkillProof publishes the install command and an independent test verdict at no cost.
Does Classify Temp Entries To Section work with Claude Code?: We tested it with Claude Code 2.x (agent harness) on Jul 21, 2026. Verdict: Tested · Works. Fetched SKILL.md via GitHub raw; frontmatter parses with name+description and no scripts are referenced. Verified all five target section files (azure/applications/models_research/best_practices/tools_extra.md) return HTTP 200; temp_entries.md is 404 by design as a transient staging file. Built a mini temp_entries.md with two entries titled for tools_extra.md's "Dataset Catalogs and Collections", plus a small section file, then produced a baseline (naive append, no bookkeeping) and a skill-followed version. Diff showed two concrete skill-driven differences: the skill inserted the entries in alphabetical order by entry name (Awesome/BigData before LLMDataHub/Open) rather than appending at the end, and it added the checkmark marker to both processed entries in temp_entries.md, which the baseline left unmarked.
What is the Classify Temp Entries To Section SkillProof Score?: 8.8/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 7/10, docs & honesty 5/5.
How do I install Classify Temp Entries To Section?: Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
Can I use Classify Temp Entries To Section with Cursor, Copilot, Gemini CLI, Codex or other AI tools?: The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.