agent-memory
Creates and queries agent expertise profiles in AGENT-EXPERTISE.md, increments file-familiarity counters after each task, and ranks candidate agents by recency and task-area match. Use when deciding which agent should handle a file, checking who last worked on a module, recording task outcomes, or assigning work based on past performance.
100
100%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
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 clearly articulates specific capabilities (profile management, counter incrementing, agent ranking), provides explicit trigger guidance via a 'Use when' clause with four concrete scenarios, and occupies a highly distinctive niche around multi-agent expertise tracking. The description is concise yet comprehensive, using third-person voice throughout.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: creates/queries expertise profiles, increments file-familiarity counters, ranks candidate agents by recency and task-area match. These are precise, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers both what (creates/queries profiles, increments counters, ranks agents) and when (explicit 'Use when' clause with four distinct trigger scenarios: deciding agent assignment, checking last worker, recording outcomes, assigning by performance). | 3 / 3 |
Trigger Term Quality | Includes natural trigger terms users would say: 'which agent should handle a file', 'who last worked on a module', 'assigning work', 'past performance', 'task outcomes', 'expertise profiles'. Good coverage of natural language variations for agent assignment scenarios. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive niche around agent expertise tracking and work assignment based on familiarity. References a specific file (AGENT-EXPERTISE.md) and domain-specific concepts like file-familiarity counters and agent ranking, making conflicts with other skills very unlikely. | 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 efficiently communicates a multi-agent expertise tracking protocol. It excels at providing concrete, executable commands alongside clear workflow steps with validation checkpoints at each stage. The content is appropriately scoped with good progressive disclosure to the knowledge graph reference.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient. It uses tables for triggers, concise entry formats, and doesn't explain concepts Claude already knows. Every section serves a clear purpose without padding. | 3 / 3 |
Actionability | Provides executable shell commands for querying expertise, appending entries, and incrementing familiarity counters. The awk script and grep commands are copy-paste ready, and the entry format is explicitly specified with examples. | 3 / 3 |
Workflow Clarity | The workflow section has clear numbered steps (before delegating, after task, on failure) each with explicit validation checkpoints. The update triggers table provides unambiguous decision criteria, and pruning includes a validation command. | 3 / 3 |
Progressive Disclosure | The skill is well-structured with clear sections (Expertise File, Update Triggers, Retrieval & Delegation, Workflow, Pruning, Knowledge Graph) and appropriately references KNOWLEDGE-GRAPH.md for detailed entity types and templates rather than inlining that content. | 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.
- Repository
- monkilabs/opencastle
- Commit
f5c8508
- Reviewed
Table of Contents
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