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AI Agent & Automation Workflows

Skill pack
17 skills0 selected
kanevrySkills in this pack

Detects drift between CLAUDE.md / meta narrative and live repository state. Four checks: absolute-path resolution, 01-projects/ count claims, issue-reference freshness (closed refs in forward-looking sections), session-file existence. Invoked as an opt-in session-end phase; mirrors vault-sync's lean JSON+exit-code contract.

English

Monitor iterative improvement loops for convergence. Three signals — shrinking diff, pass-rate plateau, velocity — drive a Stop/Continue/Investigate decision at each inter-wave checkpoint. Distinct from /evolve (retrospective) and session-reviewer (wave output review): convergence-monitoring answers "are we making progress?" not "was the last wave correct?". Primary consumer: /autoresearch loops and wave-executor inter-wave checkpoints.

English

Opt-in orchestration for documentation generation and updates within a session. Maps session scope to audience-specific docs tasks (User / Dev / Vault), dispatches the docs-writer agent with source-grounded prompts, and reports coverage gaps to session-end. Gated on docs-orchestrator.enabled: true in Session Config. Zero overhead when disabled.

English

VCS operations reference for GitLab and GitHub: CLI commands (glab/gh), label taxonomy, issue templates, dynamic project resolution. Used as a reference by other skills and during issue management.

English

Use when you need a single-pane cross-repo health view across all vault-registered GitLab and GitHub projects. Discovers repos from overview.md frontmatter in /01-projects//, aggregates open issues, MRs, critical labels, and stale signals via parallel glab/gh calls, then writes an idempotent PORTFOLIO.md dashboard. Runs automatically at session-start Phase 2 when gitlab-portfolio.enabled=true. Triggers: "show portfolio status", "refresh the portfolio dashboard", "which repos have critical issues", "run /portfolio". Context: session-start, gitlab-portfolio.enabled=true, vault has 5 registered repos. user: "/session deep" assistant: "Portfolio: 3 critical issues across 2 repos — run /portfolio for details.

English

Use when performing manual memory consolidation (Dream-equivalent). Reviews, consolidates, and prunes memory files under ~/.claude/projects//memory/. Run after major refactors, every 5+ sessions, or when memory quality degrades (broken links, stale references, contradictions, MEMORY.md > 200 lines). Invoke with /memory-cleanup.

English

Deterministic mode selection for session-start. Reads Phase A STATE.md recommendations + (future) learnings, sessions, backlog, bootstrap signals and returns {mode, rationale, confidence, alternatives}. Pure-function contract — no side effects, no STATE.md writes. Phase B scaffold (issue 276); full heuristic is follow-up sub-issues.

English

Use when driving native-UI AX-tree snapshots and screenshots via steipete/peekaboo (MIT, macOS-only). Dispatched by skills/test-runner/ to capture native-UI AX-tree snapshots + screenshots on macOS 15+ targets, and exits with deterministic JSON output the orchestrator can parse.

English

Use when you need multi-persona parallel content review — domain experts, buyer personas, compliance reviewers, or custom catalog entries reviewing a target file or output. Dispatches N persona agents in parallel, consolidates verdicts via a configurable mode (voting-quorum, hard-gate-threshold, or coordinator-summary), and writes a timestamped sidecar to .orchestrator/persona-panel/. Invoked via /persona-panel .

English

Use when executing web tests via the canonical playwright npm package (Microsoft, Apache-2.0). Dispatched by skills/test-runner/ to execute web tests against a target, captures token-frugal AX-tree snapshots + screenshots + console output under .orchestrator/metrics/test-runs/ /, and exits with deterministic JSON output the orchestrator can parse.

English

Creates a structured wave execution plan with role-based assignment after user alignment. Decomposes agreed tasks into configurable waves (default 5) with optimal agent assignment, dependency ordering, and inter-wave checkpoints. Activated by session-start after Q&A phase completes.

English

Use when the user wants to identify unused, near-zero-use, or stale skills/agents/commands in the plugin surface so they can be demoted or retired. Combines agent-dispatch telemetry (start-events only) with static reference scanning, classifies every surface item into Active / Investigate / Demote / Retire, and emits a Markdown report plus JSON sidecar. NEVER auto-deletes — surfaces candidates for human decision. Quarterly cadence. Context: The plugin surface has grown and the maintainer wants to prune dead weight. user: "/sunset-review" assistant: "Running the sunset walk — classifying skills, agents, and commands by usage telemetry + static refs, grouped by Retire / Demote / Investigate / Active. No item is deleted automatically; I'll surface Retire/Demote candidates for your decision." The user wants a usage-driven prune candidate list; this skill runs the read-only walker, presents grouped verdicts, and writes a sidecar — it never deletes.

English

Use when the operator wants a prepared tmux visualization layout for the session's side-channels (STATE.md tail, CI-watch, events.jsonl tail). Renders a 4-pane default layout or debug layout. Read-only side-channel observability — the coordinator chat stays in the operator's original terminal. Trigger phrases: "tmux layout", "split panes for ci watch", "visualize session side-channels", "show me state-md tail and ci".

English

Use when dispatching implicit slash-command intent from the user's first message. Inspects the user's first message for implicit slash-command intent and dispatches to the highest-confidence matching entry-point skill via the Skill tool. Only active when auto-skill-dispatch: true in Session Config. Silent no-op otherwise.

English

Mirrors session and learning JSONL records into the Meta-Vault as Markdown notes with vault-compatible frontmatter.

English

Validates vault frontmatter (Zod schema) and wiki-link integrity. Phase 1: hard gate at session-end. Used by session-end skill to block close on invalid vault state.

English

Use when you have a PRD or design spec and need a bite-sized, executable implementation plan that any agent can follow without re-deriving structure. Produces docs/plans/YYYY-MM-DD- .md with per-task Files block, complete code per step (no placeholders), and exact verification commands. Rejects "TBD", "TODO", "add error handling", "similar to Task N".

English

Includes Claude Markdown Drift Check, Convergence Monitoring, Docs Orchestrator, and other workflows.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Pack stats

Skills17CategorygeneralStars0

What’s included

Claude Markdown Drift Check

Detects drift between CLAUDE.md / meta narrative and live repository state. Four checks: absolute-path resolution, 01-projects/ count claims, issue-reference freshness (closed refs in forward-looking sections), session-file existence. Invoked as an opt-in session-end phase; mirrors vault-sync's lean JSON+exit-code contract.

Convergence Monitoring

Monitor iterative improvement loops for convergence. Three signals — shrinking diff, pass-rate plateau, velocity — drive a Stop/Continue/Investigate decision at each inter-wave checkpoint. Distinct from /evolve (retrospective) and session-reviewer (wave output review): convergence-monitoring answers "are we making progress?" not "was the last wave correct?". Primary consumer: /autoresearch loops and wave-executor inter-wave checkpoints.

Docs Orchestrator

Opt-in orchestration for documentation generation and updates within a session. Maps session scope to audience-specific docs tasks (User / Dev / Vault), dispatches the docs-writer agent with source-grounded prompts, and reports coverage gaps to session-end. Gated on docs-orchestrator.enabled: true in Session Config. Zero overhead when disabled.

GitLab Ops

VCS operations reference for GitLab and GitHub: CLI commands (glab/gh), label taxonomy, issue templates, dynamic project resolution. Used as a reference by other skills and during issue management.

GitLab Portfolio

Use when you need a single-pane cross-repo health view across all vault-registered GitLab and GitHub projects. Discovers repos from overview.md frontmatter in /01-projects//, aggregates open issues, MRs, critical labels, and stale signals via parallel glab/gh calls, then writes an idempotent PORTFOLIO.md dashboard. Runs automatically at session-start Phase 2 when gitlab-portfolio.enabled=true. Triggers: "show portfolio status", "refresh the portfolio dashboard", "which repos have critical issues", "run /portfolio". Context: session-start, gitlab-portfolio.enabled=true, vault has 5 registered repos. user: "/session deep" assistant: "Portfolio: 3 critical issues across 2 repos — run /portfolio for details. Dashboard written to vault/01-projects/PORTFOLIO.md."

Memory Cleanup

Use when performing manual memory consolidation (Dream-equivalent). Reviews, consolidates, and prunes memory files under ~/.claude/projects//memory/. Run after major refactors, every 5+ sessions, or when memory quality degrades (broken links, stale references, contradictions, MEMORY.md > 200 lines). Invoke with /memory-cleanup.

Mode Selector

Deterministic mode selection for session-start. Reads Phase A STATE.md recommendations + (future) learnings, sessions, backlog, bootstrap signals and returns {mode, rationale, confidence, alternatives}. Pure-function contract — no side effects, no STATE.md writes. Phase B scaffold (issue 276); full heuristic is follow-up sub-issues.

Peekaboo Driver

Use when driving native-UI AX-tree snapshots and screenshots via steipete/peekaboo (MIT, macOS-only). Dispatched by skills/test-runner/ to capture native-UI AX-tree snapshots + screenshots on macOS 15+ targets, and exits with deterministic JSON output the orchestrator can parse.

Persona Panel

Use when you need multi-persona parallel content review — domain experts, buyer personas, compliance reviewers, or custom catalog entries reviewing a target file or output. Dispatches N persona agents in parallel, consolidates verdicts via a configurable mode (voting-quorum, hard-gate-threshold, or coordinator-summary), and writes a timestamped sidecar to .orchestrator/persona-panel/. Invoked via /persona-panel .

Playwright Driver

Use when executing web tests via the canonical playwright npm package (Microsoft, Apache-2.0). Dispatched by skills/test-runner/ to execute web tests against a target, captures token-frugal AX-tree snapshots + screenshots + console output under .orchestrator/metrics/test-runs/ /, and exits with deterministic JSON output the orchestrator can parse.

Session Plan

Creates a structured wave execution plan with role-based assignment after user alignment. Decomposes agreed tasks into configurable waves (default 5) with optimal agent assignment, dependency ordering, and inter-wave checkpoints. Activated by session-start after Q&A phase completes.

Sunset Review

Use when the user wants to identify unused, near-zero-use, or stale skills/agents/commands in the plugin surface so they can be demoted or retired. Combines agent-dispatch telemetry (start-events only) with static reference scanning, classifies every surface item into Active / Investigate / Demote / Retire, and emits a Markdown report plus JSON sidecar. NEVER auto-deletes — surfaces candidates for human decision. Quarterly cadence. Context: The plugin surface has grown and the maintainer wants to prune dead weight. user: "/sunset-review" assistant: "Running the sunset walk — classifying skills, agents, and commands by usage telemetry + static refs, grouped by Retire / Demote / Investigate / Active. No item is deleted automatically; I'll surface Retire/Demote candidates for your decision." The user wants a usage-driven prune candidate list; this skill runs the read-only walker, presents grouped verdicts, and writes a sidecar — it never deletes.

Tmux Layout

Use when the operator wants a prepared tmux visualization layout for the session's side-channels (STATE.md tail, CI-watch, events.jsonl tail). Renders a 4-pane default layout or debug layout. Read-only side-channel observability — the coordinator chat stays in the operator's original terminal. Trigger phrases: "tmux layout", "split panes for ci watch", "visualize session side-channels", "show me state-md tail and ci".

Using Orchestrator

Use when dispatching implicit slash-command intent from the user's first message. Inspects the user's first message for implicit slash-command intent and dispatches to the highest-confidence matching entry-point skill via the Skill tool. Only active when auto-skill-dispatch: true in Session Config. Silent no-op otherwise.

Vault Mirror

Mirrors session and learning JSONL records into the Meta-Vault as Markdown notes with vault-compatible frontmatter.

Vault Sync

Validates vault frontmatter (Zod schema) and wiki-link integrity. Phase 1: hard gate at session-end. Used by session-end skill to block close on invalid vault state.

Write Executable Plan

Use when you have a PRD or design spec and need a bite-sized, executable implementation plan that any agent can follow without re-deriving structure. Produces docs/plans/YYYY-MM-DD- .md with per-task Files block, complete code per step (no placeholders), and exact verification commands. Rejects "TBD", "TODO", "add error handling", "similar to Task N".

Quick start

  1. Choose your skills. Select individual skills above, or choose the entire pack.
  2. Copy the install prompt. Use Copy install prompt above the list.
  3. Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.

Try it with your agent

After installation, start with a request like:

Example request
Use the Claude Markdown Drift Check skill to help with my task.
Ask me for the context you need before getting started.

Requirements & license

  • A coding agent that can access your project files and install skills.
  • Your agent checks each skill’s instructions, dependencies, and permissions during setup.
  • Reported license for the skills shown: MIT. The author’s terms apply.
AI Agent & Automation Workflows | Agent Skills Atlas