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
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 solid skill description for a niche domain. It excels at trigger term coverage and distinctiveness due to the specialized terminology, and it includes explicit 'Use when' and 'Triggers on' clauses. The main weakness is that it describes knowledge areas rather than concrete actions the skill performs, making it read more like a topic list than a capability description.
Suggestions
Replace 'repository knowledge' with specific concrete actions, e.g., 'Resolves package ID mismatches, configures Canton participants, debugs LF version compatibility issues, and develops DAML smart contracts.'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description names the domain (Canton Network, DAML, Splice) and mentions some specific areas like 'LF version compatibility' and 'package ID mismatches', but it primarily describes knowledge areas rather than listing concrete actions the skill performs (e.g., 'resolve package ID mismatches', 'configure Canton participants'). | 2 / 3 |
Completeness | Clearly answers both 'what' (Canton Network, DAML, and Splice repository knowledge, LF version compatibility, package ID mismatches) and 'when' with an explicit 'Use when...' clause and a 'Triggers on...' clause listing specific trigger terms. | 3 / 3 |
Trigger Term Quality | Includes strong natural trigger terms: 'Canton', 'DAML', 'Splice', 'decentralized-canton-sync', 'LF version', 'package ID mismatches', 'Canton participants', 'DAML smart contracts'. These are terms users working in this domain would naturally use. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with very specific domain terminology (Canton, DAML, Splice, decentralized-canton-sync, LF version). These are niche terms unlikely to conflict with other skills. | 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 highly actionable and well-structured skill covering a complex domain-specific topic. Its greatest strengths are the concrete, verified build instructions and clear repository hierarchy. The main weakness is its length — at ~300 lines it pushes token budget limits and could benefit from splitting detailed sections into referenced files for better progressive disclosure.
Suggestions
Consider splitting the detailed build instructions ('Building from Open-Source' and 'Fully Open-Source LF 2.2 Build') into a separate BUILD_GUIDE.md referenced from the main skill
Move the troubleshooting section to a separate TROUBLESHOOTING.md to reduce the main file's token footprint while keeping it discoverable via a clear reference
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is quite lengthy (~300 lines) and includes some information that could be trimmed, such as the detailed Scala/Haskell source snippets and the extensive directory trees. However, most content is domain-specific knowledge Claude wouldn't inherently know, so it's not explaining basic concepts. The version mapping tables and verified results are valuable but the overall document could be tightened. | 2 / 3 |
Actionability | The skill provides fully executable commands for building Canton and Splice, specific file paths to edit, exact configuration changes with copy-paste ready code blocks, and concrete troubleshooting steps with specific commands to diagnose issues. The LF 2.2 build steps are detailed and marked as verified. | 3 / 3 |
Workflow Clarity | The multi-step build processes are clearly sequenced (e.g., the 5-step LF 2.2 build process), with explicit validation notes ('Verified Working', 'Verified Results'). The troubleshooting section provides clear cause-check-fix patterns that serve as error recovery guidance. The dependency hierarchy diagram clearly establishes the build order. | 3 / 3 |
Progressive Disclosure | The content is largely monolithic — all information is inline in a single file with no references to supplementary files for detailed content. The external references at the bottom are helpful but the document itself could benefit from splitting detailed build instructions, version tables, or troubleshooting into separate referenced files. For a skill this long (~300 lines), this is a missed opportunity. | 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
e437c3c
- Reviewed
Table of Contents
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