agentleFS
Sign inStart free
bighamxbighamx/openclaw-android-node-apk/.agents/skills/slacrawl/SKILL.md

slacrawl

Skill59 starsChanged 16 days agoMITView on GitHub

Slack archive: search, sync freshness, threads/DMs, SQL counts, and Slacrawl repo work.

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use local Slack archive data first.

    line 19

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Slacrawl

Use local Slack archive data first. Check freshness for recent/current questions:

slacrawl doctor
slacrawl status --json

Refresh only when stale or asked:

slacrawl sync --source wiretap
slacrawl sync --source bot --latest-only

wiretap reads Slack Desktop cache; bot uses API tokens. The desktop/api aliases remain valid. A configured connector can use --source mcp; select the workspace explicitly when needed. Use --full only for deliberate backfills.

Query with bounded slices:

slacrawl search --limit 20 "query"
slacrawl messages --since 7d --limit 50
slacrawl sql "select count(*) from messages;"

Report workspace/channel names, absolute date spans, counts, and token/source limits. Use read-only SQL for exact counts/rankings. API sync and full thread/DM hydration require Slack tokens; do not assume they exist.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free