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SKILL verified MIT Self-run

Anarlog Workflow

skill-modem-dev-ossrules-anarlog-workflow · by modem-dev

Execute Anarlog work immediately while recording issues, decisions, progress, and lessons in Linear. Use for Anarlog repository or Anarlog desktop, web, mobile, and API work, including related worktrees and ANLG issues. Explicit brainstorming stays discussion-first. Do not use for unrelated repositories or meeting-data queries.

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Install

$ agentstack add skill-modem-dev-ossrules-anarlog-workflow

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-modem-dev-ossrules-anarlog-workflow)

Reliability & compatibility

✓ Security review passed
0 installs to date
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● 5d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Anarlog workflow

Apply to Anarlog repository or Anarlog desktop, web, mobile, and API work. Apply the same workflow in other checkouts and worktrees.

Linear is the system of record. Chat and the repo are not the archive.

Start work immediately

  1. Default to execution. When the user requests a change, reports a bug, or scopes work, start investigating and implementing immediately and carry it through to completion. Recording it in Linear is part of the work, not the deliverable or a reason to stop.
  2. Only use a discussion-first workflow when the user explicitly asks for brainstorming, exploration of ideas, or planning without implementation. Answer informational questions directly.
  3. Search Linear issues, documents, and comments for the topic, IDs (ANLG-123), and nearby decisions alongside execution. Read matching issues/docs and the team's Agent lessons early enough to inform relevant implementation decisions. Do not make this pass a prerequisite for starting useful work.
  4. Reuse an existing issue when one fits. Create one only when nothing covers the work, on the right team, attached to the existing Linear project when one already tracks that surface. Keep the issue current as work proceeds; do not stop after creating or updating it.
  5. If Linear is unavailable, continue authorized work and report the recording gap. Existing approval requirements for external actions and shared history still apply.

Record everything

  • Work lives on a Linear issue. If the user states a decision, files a bug, or scopes new work, write it to Linear in the same turn.
  • Progress, decisions, blockers, and handoffs go on that issue as comments.
  • Durable specs, research, and product context go in Linear documents on the team or project.
  • Link the issue in commits/PRs when one exists (ANLG-123).

Record lessons as you go

A lesson is anything the next agent would otherwise rediscover: a failed approach, a non-obvious constraint, an architectural decision, a prod/debug gotcha, or a corrected assumption.

  • Write it immediately. Do not wait for a wrap-up.
  • Ticket-specific: comment on the issue under ## Lesson.
  • Reusable across tickets: append to that team's Agent lessons document (create it if missing). Newest first: date, one-line title, what we learned, what to do next time.
  • Do not dump routine status into lessons. Do not leave important context only in the chat.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.