canton-network-repos
Canton Network, DAML, and Splice repository knowledge. Use when working with Canton participants, DAML smart contracts, Splice applications, LF version compatibility, or package ID mismatches. Triggers on Canton, DAML, Splice, decentralized-canton-sync, or LF version queries.
88
Quality
83%
Does it follow best practices?
Impact
98%
2.08xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Quality
Discovery
89%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 well-structured skill description with strong trigger term coverage and explicit 'Use when' and 'Triggers on' clauses that make selection criteria clear. The main weakness is that the capabilities are described at a domain/knowledge level rather than listing specific concrete actions Claude can perform with this skill.
Suggestions
Add specific concrete actions like 'debug package ID mismatches', 'configure Canton participants', 'write DAML smart contracts', or 'resolve LF version compatibility issues' to improve specificity
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Canton Network, DAML, Splice) and mentions some actions like 'working with Canton participants, DAML smart contracts, Splice applications' but doesn't list concrete specific actions like 'deploy contracts', 'debug package mismatches', or 'configure participants'. | 2 / 3 |
Completeness | Clearly answers both what ('Canton Network, DAML, and Splice repository knowledge') and when ('Use when working with Canton participants, DAML smart contracts...') with explicit trigger guidance ('Triggers on Canton, DAML, Splice...'). | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'Canton', 'DAML', 'Splice', 'decentralized-canton-sync', 'LF version', 'package ID mismatches', 'Canton participants', 'smart contracts'. These are specific technical terms users in this domain would naturally use. | 3 / 3 |
Distinctiveness Conflict Risk | Very clear niche with highly specific domain terminology (Canton, DAML, Splice, LF version compatibility, decentralized-canton-sync). Unlikely to conflict with other skills due to the specialized blockchain/smart contract domain focus. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
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 strong, highly actionable skill with excellent workflow clarity and concrete, executable guidance. The main weakness is its length - it could benefit from splitting detailed repository information and troubleshooting into separate files. Some explanatory content about concepts like package IDs could be trimmed since Claude understands these.
Suggestions
Split repository details (DAML SDK, Canton, Splice sections) into a separate REPOSITORIES.md file, keeping only a summary in the main skill
Move the Troubleshooting section to a separate TROUBLESHOOTING.md file and reference it from the main skill
Remove explanatory text about what package IDs are and how they're derived - Claude knows this; keep only the actionable implications
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is comprehensive but includes some redundant explanations (e.g., explaining what package IDs are, repeating version information in multiple places). The version mapping table and repository hierarchy are efficient, but sections like 'LF Version Implications' explain concepts Claude likely knows. | 2 / 3 |
Actionability | Provides fully executable commands, specific file paths, concrete code examples (Scala, Haskell, YAML, bash), and copy-paste ready build instructions. The 'Building with LF 2.2' section is particularly actionable with numbered steps and exact file edits. | 3 / 3 |
Workflow Clarity | Multi-step processes are clearly sequenced with numbered steps. The LF 2.2 build workflow includes explicit validation ('Verified Working', 'Verified Results') and clear checkpoints. Troubleshooting section provides cause-check-fix patterns for error recovery. | 3 / 3 |
Progressive Disclosure | Content is well-organized with clear sections and a useful 'Key Files Reference' table, but the skill is monolithic (~300 lines) with no references to external detail files. The repository details and troubleshooting could be split into separate files for better navigation. | 2 / 3 |
Total | 10 / 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
- NeverSight/skills_feed
- Commit
5342bca
- Reviewed
Table of Contents
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