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render-deploy

Deploy applications to Render by analyzing codebases, generating render.yaml Blueprints, and providing Dashboard deeplinks. Use when the user wants to deploy, host, publish, or set up their application on Render's cloud platform. Do NOT use for deploying to Vercel, Netlify, or Cloudflare (use their respective skills).

87

Quality

85%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Discovery

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 an excellent skill description that hits all the marks. It provides specific concrete actions, includes natural trigger terms users would say, explicitly addresses both what and when, and proactively reduces conflict risk by naming competing skills to avoid. The negative trigger guidance is a particularly strong differentiator.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'analyzing codebases', 'generating render.yaml Blueprints', and 'providing Dashboard deeplinks'. These are precise, actionable capabilities.

3 / 3

Completeness

Clearly answers both 'what' (analyzing codebases, generating render.yaml Blueprints, providing Dashboard deeplinks) and 'when' (explicit 'Use when...' clause with multiple trigger scenarios). Also includes explicit negative triggers ('Do NOT use for...') which further clarifies scope.

3 / 3

Trigger Term Quality

Excellent coverage of natural trigger terms: 'deploy', 'host', 'publish', 'set up', 'Render', 'cloud platform'. These are terms users would naturally use when wanting to deploy to Render.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive with clear niche (Render-specific deployment) and explicitly differentiates itself from competing skills (Vercel, Netlify, Cloudflare) with a 'Do NOT use' clause, minimizing conflict risk.

3 / 3

Total

12

/

12

Passed

Implementation

70%

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

The skill excels at actionability, workflow clarity, and progressive disclosure—it provides executable commands, well-sequenced steps with validation checkpoints, and appropriate delegation to reference files. However, it is significantly too verbose: security requirements, MCP setup instructions for multiple tools, repeated guidance about Git remotes, and explanatory text that Claude doesn't need inflate the token cost substantially. The content could likely be cut by 40-50% without losing any actionable information.

Suggestions

Drastically condense the 'Security Requirements for API Keys and Secrets' section to 3-4 bullet points—Claude already understands credential hygiene and doesn't need 6 numbered sub-sections with examples.

Move MCP setup instructions (Cursor, Claude Code, Other Tools) to a reference file like references/mcp-setup.md and link to it, since these are one-time setup steps that bloat the main skill.

Eliminate repeated instructions that appear multiple times (e.g., 'stop and ask the user to create/push a remote' appears at least 3 times; 'MCP does not support image-backed services' appears twice).

Remove explanatory text Claude already knows, such as what service types mean ('HTTP services, APIs, web applications (publicly accessible)') and the SSH-to-HTTPS conversion pattern explanation—a simple table suffices.

DimensionReasoningScore

Conciseness

The skill is extremely verbose at ~350+ lines. It over-explains concepts Claude already knows (what Git remotes are, what service types mean), repeats instructions across sections (e.g., 'stop and ask the user to create/push a remote' appears 3+ times), includes lengthy MCP setup instructions for multiple tools, and has extensive security guidance that could be condensed significantly. The prerequisite checks alone span dozens of lines with redundant verification steps.

1 / 3

Actionability

The skill provides concrete, executable commands throughout—bash commands for CLI operations, specific MCP function calls, complete YAML examples for render.yaml, exact deeplink URL formats with conversion tables, and JSON configuration blocks for MCP setup. Nearly everything is copy-paste ready.

3 / 3

Workflow Clarity

Both deployment methods have clearly numbered, sequenced steps with explicit validation checkpoints (Step 2.5 immediate checklist, Step 3 validate configuration, Step 7 verify deployment). The post-deploy triage section includes a feedback loop for fixing and redeploying. Decision heuristics for method selection are clearly structured with conditions.

3 / 3

Progressive Disclosure

The skill effectively delegates detailed content to reference files (references/codebase-analysis.md, references/blueprint-spec.md, references/direct-creation.md, references/troubleshooting-basics.md, etc.) while keeping the main file as an orchestration overview. References are one level deep and clearly signaled with descriptive labels.

3 / 3

Total

10

/

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

skill_md_line_count

SKILL.md is long (531 lines); consider splitting into references/ and linking

Warning

Total

10

/

11

Passed

Repository
tech-leads-club/agent-skills
Reviewed

Table of Contents

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