What does this skill do, and when should you use it?
This is a test-oriented Slack chat skill built from an empty export directory. It records zero messages, users, channels, threads, code snippets, shared links, and content sections. The skill is intended to support searches for solutions, code, decisions, troubleshooting steps, and shared resources, but the supplied export contains nothing to retrieve. It is one generated skill in the Skill Seekers repository and does not represent the capabilities of the full collection.
Describes the Slack export at fixtures/empty-export/ and exposes its zero-value chat statistics and reference navigation. It points to references/section_01.md and references/index.md, while reporting no messages, threads, code snippets, links, users, or channels. It does not run a scraper or perform a network call in the supplied SKILL.md.
- A developer maintaining Skill Seekers tests needs to validate generation from an empty Slack export.
- An engineer building chat-knowledge retrieval needs a deterministic zero-result fixture.
- A team validating export statistics needs to check behavior when no Slack data is present.
How do you install this skill?
- This path is an empty Slack golden test build and should not be treated as a usable knowledge-retrieval skill or documentation/GitHub/PDF conversion skill.
- Before use, confirm that the export is non-empty and document permissions and sensitive-data handling; add failure feedback and reproducible tests.
- Local filesystem
The README documents installation for the Skill Seekers collection with pip install skill-seekers. It does not document a standalone installation command or deployment location for tests/golden/phase2/chat_empty/SKILL.md.
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/yusufkaraaslan/Skill_Seekers.git "$tmp"
mkdir -p ~/.claude/skills
cp -R "$tmp/tests/golden/phase2/chat_empty" ~/.claude/skills/
rm -rf "$tmp"Generated from the source repository and skill path; it copies only this skill's folder. If the author's install steps above differ, follow those first. To scope it to one project, replace ~/.claude/skills with that project's .claude/skills.
How do you use this skill?
Once installed, send your agent any of these to trigger it:
- Find team decisions in the golden_chat_empty chat history
- Look for code snippets in the empty chat export.
In an Agent Skills-compatible client with this skill loaded, ask: “Find team decisions in the golden_chat_empty chat history” or “Look for code snippets in the empty chat export.” Because the source contains zero messages, the correct result is that no matching content is available.
What are this skill's strengths and limitations?
- Precisely covers the zero-result case for an empty Slack export.
- Reports message, user, thread, link, and channel statistics.
- Includes reference-file and index navigation.
- Contains no actual chat content, so it cannot provide solutions, snippets, or team decisions.
- The SKILL.md does not document standalone installation or deployment.
- Its scope is limited to testing an empty export; capabilities from the broader Skill Seekers repository must not be attributed to it.
How does this skill compare with similar options?
Side by side with related skills; every score comes from the same FSRS standard.
| Skill | FS score | Stars | Last updated | License |
|---|---|---|---|---|
| Empty Slack Chat Skill this page | 28 · Not recommended | ★ 15k | 25d ago | MIT |
| Golden Chat Slack Finder | 27 · Not recommended | ★ 15k | 25d ago | MIT |
| Slack Team Chat Retrieval Skill | 21 · Not recommended | ★ 15k | 25d ago | MIT |
| Ni Haisha TCM Course Agent Skill | 62 · Recommended | ★ 2.2k | 1mo ago | — |
| Vault Hybrid Retrieval | 54 · Use with care | ★ 16k | 1mo ago | MIT |
How did FollowSkills review this skill?
The evidence describes only an empty Slack export and local reference files, with no malware, credential theft, or external side effects. However, it does not specify permission boundaries, user confirmation, data flow, sensitive-data handling, rollback, or source attribution, so points are deducted.
SKILL.md, index.md, and section_01.md are broadly consistent about zero messages and sections, and the structure is readable statically. There are no key-path tests, abnormal-input handling, or diagnosable failure messages, and execution cannot be verified, so the score remains low.
The evidence fits only a golden_chat_empty test build. Claimed lookup scenarios cannot work with empty data, and trigger conditions, non-fit boundaries, Chinese support, and mainland-China environment fit are not established, causing a substantial deduction.
The files provide basic headings, statistics, and reference navigation; repository context supplies an MIT license and version metadata. The skill itself lacks installation notes, examples, FAQs, limitation disclosures, maintenance ownership, update path, and changelog, and is marked as generated test output.
The evidence states that messages, threads, snippets, links, users, and channels are all zero. The core lookup scenarios therefore produce no useful result, and there is no evidence that this path performs the stated documentation/GitHub/PDF conversion task.
The empty export, index, and reference file provide limited directly checkable static evidence. There is no committed key-path test coverage, third-party execution evidence, or corroboration, so the static ceiling prevents a higher score.
Open a dimension to read why it scored that way
Evidence confidence：Low — Mostly static review, author material or a limited demo; useful for discovery, not high-risk decisions.
See the full review method →