agentleFS
riteshsonawane1372riteshsonawane1372/devops-skills/skills/_template/SKILL.md

technology-job

Skill0 starsChanged 2 months agoApache-2.0View on GitHub

One or two sentences: what this diagnoses or produces, and the concrete symptoms or requests that should trigger it. Name the error strings an engineer would type. 40-1024 characters.

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Collect evidence: Read-only commands only. Capture output before anything changes.

    line 40
  2. Distinctive:

    Test the top hypothesis: Prefer a test that eliminates a whole class of causes.

    line 43
  3. Very specific:

    Delete this subsection if risk is not destructive.

    line 104
  4. Distinctive:

    Verify at least two independent layers (e.g.

    line 119

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 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

Technology Job

One-line statement of the job this skill does.

Purpose

Use this when:

  • Symptom or request that should route here.
  • Another one.

Do not use this when:

  • The problem is actually X — use other-skill instead.
  • The change is routine and already covered by an existing runbook.

What this skill assumes: state what must be true (access level, tooling installed, etc.).

Operating Procedure

Work top to bottom. Do not skip to remediation.

  1. Establish the environment. What cluster/account/host/version is this? Record it.
  2. Collect evidence. Read-only commands only. Capture output before anything changes.
  3. State the symptom precisely. "30% of requests return 503 since 14:20 UTC", not "it's broken".
  4. Form hypotheses. Rank by likelihood given the evidence, not by familiarity.
  5. Test the top hypothesis. Prefer a test that eliminates a whole class of causes.
  6. Apply the smallest safe change. One change at a time.
  7. Verify. See Verification. A command exiting 0 is not verification.
  8. Document. What was observed, what changed, how to roll back.

Label every statement as Observed, Assumed, Recommended, or Unverified. When something is unknown, run an inspection command or ask one targeted question — do not guess identifiers, regions, or versions.

Investigation

Step 1 — <what this establishes>

command --with-flags <placeholder>

What it checks, the specific field or line to look at, and what each plausible value implies.

Step 2 — <what this establishes>

another-command

Same: signal, then meaning.

Decision Tree

Symptom
├── Condition A observed
│   ├── Sub-condition → likely cause, next check
│   └── Sub-condition → likely cause, next check
└── Condition B observed
    └── likely cause, next check

Common Causes

CauseSignalFixRisk

Safety

Read-only

Commands that only inspect. Safe to run unprompted.

  • command --dry-run

Potentially disruptive

Restarts connections, evicts workloads, changes live configuration. Requires an explicit decision and a stated rollback.

  • command --apply — blast radius: ..., rollback: ...

Destructive

Delete this subsection if risk is not destructive. If it stays, every entry needs the backup or confirmation that must happen first.

  • command --delete — irreversible. Requires: verified backup, explicit human confirmation, blast-radius check naming every affected resource.

Verification

State the before and after in observable terms.

Before: <metric or status>
After:  <metric or status>

Verify at least two independent layers (e.g. the platform's own status and a client-side check).

Anti-Patterns

Bad: the shortcut people reach for. Better: what to do instead, and why the shortcut hides the cause.

Composition

  • other-skill — when the investigation points at that layer.

References

  • references/<file>.md — what it contains and when to read it.
  • Official docs — what to look up there.

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.