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gateway-setup

Set up a persistent AI agent gateway on macOS with Redis event bridge, heartbeat monitoring, and multi-session routing. Interactive Q&A to match your intent — from minimal (Redis + extension) to full (embedded daemon + Telegram + watchdog). Use when: 'set up a gateway', 'I want my agent always on', 'event bridge', 'heartbeat monitoring', 'agent notifications', or any request to make an AI agent persistent and reachable.

91

2.08x
Quality

88%

Does it follow best practices?

Impact

96%

2.08x

Average score across 3 eval scenarios

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Content

77%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a highly actionable, well-structured skill with complete executable code and clear multi-step workflows organized into progressive tiers. Its main weakness is length — at ~400 lines with all tiers inline, it consumes significant context window space. The ADR table, Credits, and some explanatory notes (dual Redis clients, what GATEWAY_ROLE does) could be trimmed or externalized to improve token efficiency.

Suggestions

Extract Tiers 2-4 into separate files (e.g., TIER2-HEARTBEAT.md, TIER3-MULTISESSION.md) and keep only Tier 1 + overview links in SKILL.md to improve progressive disclosure and reduce token cost.

Move the Decision Chain ADR table and Credits section to a separate ARCHITECTURE.md or remove entirely — Claude doesn't need project history to execute the setup.

Remove explanations Claude already knows (e.g., why pub/sub needs two Redis clients, what launchd KeepAlive does) to tighten conciseness.

DimensionReasoningScore

Conciseness

The skill is quite long (~400 lines) and includes some unnecessary context (e.g., Credits section, lengthy ADR table, explanations of Redis pub/sub dual-client requirement that Claude would know). However, most content is actionable code and configuration, so it's not egregiously padded. The tiered architecture adds length but serves a structural purpose.

2 / 3

Actionability

Excellent actionability throughout — fully executable TypeScript code for the extension, complete package.json, working bash commands for cron/Redis/tmux/launchd, and concrete verification commands. The Tier 1 build steps are copy-paste ready with a complete extension implementation. Even the troubleshooting notes (ioredis resolution, serveHost) include exact commands.

3 / 3

Workflow Clarity

Clear tiered progression (Tier 1→4) with each tier building on the previous. Explicit verification checklist at the end with tier-specific checks. The Intent Alignment section sequences the decision process before building. Critical setup notes are front-loaded. The watchdog provides a feedback loop for failure detection. Build steps are numbered and sequential.

3 / 3

Progressive Disclosure

The tiered structure provides good conceptual progressive disclosure, and ADR references point to external files. However, with no bundle files provided, the references to ADRs and external articles can't be verified. The main issue is that all four tiers are inline in a single long file — Tiers 2-4 could be split into separate files with the SKILL.md serving as an overview with links. The Known Limitations and Decision Chain sections add significant length that could be externalized.

2 / 3

Total

10

/

12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is a strong skill description that excels across all dimensions. It provides specific concrete capabilities, includes an explicit 'Use when' clause with natural trigger terms, and occupies a very distinct niche that minimizes conflict risk. The description is well-structured, moving from what it does to how it works to when it should be used.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'persistent AI agent gateway on macOS', 'Redis event bridge', 'heartbeat monitoring', 'multi-session routing', 'embedded daemon', 'Telegram', 'watchdog'. Also describes the interactive Q&A approach and the range from minimal to full setup.

3 / 3

Completeness

Clearly answers both 'what' (set up a persistent AI agent gateway with Redis, heartbeat, multi-session routing, interactive Q&A for configuration) and 'when' (explicit 'Use when:' clause with multiple trigger phrases and a catch-all condition).

3 / 3

Trigger Term Quality

Includes a strong set of natural trigger terms: 'set up a gateway', 'agent always on', 'event bridge', 'heartbeat monitoring', 'agent notifications', 'persistent and reachable'. These cover both specific technical terms and natural user phrasings.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive niche — persistent AI agent gateway on macOS with Redis event bridge is very specific and unlikely to conflict with other skills. The combination of macOS, Redis, heartbeat monitoring, and Telegram integration creates a clear, unique identity.

3 / 3

Total

12

/

12

Passed

Validation

90%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Repository
joelhooks/joelclaw
Reviewed

Table of Contents

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