pantheon-ai/agents-md
Create and maintain AGENTS.md documentation for simple projects and complex monorepos with deterministic discovery, scoped instruction files, and low-token navigation patterns; use when generating AGENTS.md, updating agent docs, or standardizing AI-facing project guidance.
Does it follow best practices?
Evaluation — 92%
↑ 1.05xAgent success when using this tile
Validation for skill structure
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 a strong skill description that clearly articulates specific capabilities (creating/maintaining AGENTS.md with specific patterns), includes natural trigger terms users would say, and explicitly states when to use it. The description is well-scoped to a distinct niche (AGENTS.md documentation) with minimal conflict risk against other documentation-related skills.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Create and maintain AGENTS.md documentation', 'deterministic discovery', 'scoped instruction files', and 'low-token navigation patterns'. These are concrete, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers both what ('Create and maintain AGENTS.md documentation for simple projects and complex monorepos with deterministic discovery, scoped instruction files, and low-token navigation patterns') AND when ('use when generating AGENTS.md, updating agent docs, or standardizing AI-facing project guidance'). | 3 / 3 |
Trigger Term Quality | Includes natural keywords users would say: 'AGENTS.md', 'agent docs', 'AI-facing project guidance', 'monorepos', 'generating AGENTS.md', 'updating agent docs'. Good coverage of terms a user would naturally use when needing this skill. | 3 / 3 |
Distinctiveness Conflict Risk | Very specific niche focused on AGENTS.md documentation specifically. The explicit mention of 'AGENTS.md', 'agent docs', and 'AI-facing project guidance' creates clear, distinct triggers unlikely to conflict with general documentation or coding skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-crafted skill that exemplifies best practices: concise instructions, executable commands, clear workflow with outputs, and appropriate use of external references. The anti-patterns section with BAD/GOOD contrasts is particularly effective for guiding behavior. The content respects token budget while providing comprehensive coverage.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient, avoiding explanations of concepts Claude already knows. Every section serves a purpose with no padding or unnecessary context about what AGENTS.md files are or why documentation matters. | 3 / 3 |
Actionability | Provides concrete, executable bash commands for discovery, detection, and verification. The workflow steps have clear outputs, and the anti-patterns section gives specific BAD/GOOD contrasts that are immediately actionable. | 3 / 3 |
Workflow Clarity | The 5-step workflow is clearly sequenced with explicit outputs for each step. The structure decision provides clear branching logic, and the verification section provides validation commands to confirm correctness. | 3 / 3 |
Progressive Disclosure | Excellent structure with a concise overview and well-organized Quick Reference table linking to 7 separate reference files. References are one level deep and clearly signaled with descriptive topic names. | 3 / 3 |
Total | 12 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
Install with Tessl CLI
npx tessl i pantheon-ai/agents-md@0.1.3Reviewed
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