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ainativedev/aidevcon-2026-ldn

AI Native DevCon 2026 London — all conference sessions as interactive skills

71

Quality

89%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

Overview
Quality
Evals
Security
Files

Quality

Content

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 well-crafted reference skill for a specific conference talk, with strong actionability and clear multi-step workflows for different user intents. Its main weakness is moderate redundancy between the grounding rules and the individual workflow sections, which inflates token cost. The progressive disclosure design is sound in principle (referencing outline.md, transcript.md, quotes.md) but cannot be fully validated without the bundle files.

Suggestions

Merge the grounding rules into the workflow sections or extract shared rules into a single compact block to eliminate the redundancy between rules 1-4 and the 'Factual Q&A' steps.

Provide the referenced bundle files (outline.md, transcript.md, quotes.md) so the progressive disclosure structure can be validated end-to-end.

DimensionReasoningScore

Conciseness

The skill is reasonably well-structured but contains some redundancy — the grounding rules and the 'Factual Q&A' section overlap significantly (both say to read outline.md first, quote verbatim, cite line numbers, say if not in transcript). Some tightening is possible, though the content is domain-specific knowledge Claude wouldn't have.

2 / 3

Actionability

The skill provides concrete, step-by-step procedures for each use case (factual Q&A, applying frameworks, proactive surfacing, teaching concepts). Each workflow specifies exactly which files to consult, in what order, and how to format the output (verbatim quotes, citations, explicit disclaimers for outside knowledge).

3 / 3

Workflow Clarity

Each of the four use-case workflows is clearly sequenced with numbered steps. Validation checkpoints are present — e.g., 'If the answer genuinely isn't in the transcript, say so explicitly,' 'If the framing genuinely doesn't fit the user's situation, say so,' and 'If the connection feels strained, stay quiet.' The grounding rules add additional guardrails for attribution and pre-talk chatter.

3 / 3

Progressive Disclosure

The skill references outline.md, transcript.md, and quotes.md with clear navigation signals, which is good structure. However, no bundle files were provided, so we cannot verify these references exist. Additionally, the skill itself is somewhat long and the grounding rules section could potentially be condensed or merged with the workflow sections to reduce redundancy.

2 / 3

Total

10

/

12

Passed

Description

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 well-crafted description for a highly specific knowledge-retrieval skill about a single conference talk. It excels at completeness with an explicit 'Use when' clause, lists numerous specific trigger terms and topics, and occupies a very distinct niche. The only minor concern is that the description is quite long as a single sentence, but its thoroughness serves the purpose of ensuring accurate skill selection.

DimensionReasoningScore

Specificity

The description lists multiple specific concrete topics: Figma Code Connect, Dev Mode lessons, MCP servers as a bridge, context drift between design systems and code, dedicated design-system maintenance teams, three/four directions the harness might evolve, non-developers contributing PRs, and verbatim quotes. These are highly specific capabilities.

3 / 3

Completeness

The description explicitly answers both 'what' (knowledge about Marc Sloan's specific talk and its topics) and 'when' (opens with 'Use when the user asks about...' with detailed trigger conditions). The 'Use when' clause is present and comprehensive.

3 / 3

Trigger Term Quality

Includes natural keywords a user would say: 'Marc Sloan', the full talk title, 'Tessl DevCon', 'Figma', 'Notion', 'Linear', 'CRM', 'MCP servers', 'design systems', 'agent harnesses', 'product & design constraints'. These are the exact terms someone asking about this talk would use.

3 / 3

Distinctiveness Conflict Risk

This is extremely niche — it targets a specific talk by a specific speaker at a specific conference. It is virtually impossible to conflict with another skill unless there were multiple skills about the same talk. The combination of speaker name, talk title, and conference date makes it uniquely identifiable.

3 / 3

Total

12

/

12

Passed

Validation

81%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation9 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

Total

9

/

11

Passed

Reviewed

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