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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-structured, concise instruction-only skill that clearly defines how to handle different types of questions about a conference talk. Its main strengths are token efficiency and clear workflow sequencing with appropriate safety guardrails for treating transcript content as untrusted. Its main weakness is the lack of concrete examples showing what good output looks like (e.g., a sample Q&A with timestamp citation or a sample flagged garbled phrase).

Suggestions

Add 1-2 concrete examples showing expected output format, e.g., a sample factual answer with timestamp citation and a sample response when the transcript doesn't address a question.

Include a brief example of how to handle and flag garbled speech-to-text text, since this is a unique aspect of the skill that benefits from demonstration.

DimensionReasoningScore

Conciseness

The skill is lean and efficient. It avoids explaining what transcripts, speech-to-text, or summaries are. Every section serves a clear purpose—grounding rules, Q&A approach, summary approach, application approach—without padding or redundant explanation.

3 / 3

Actionability

The guidance is concrete in terms of process (read outline.md first, then transcript.md, cite timestamps, etc.) but lacks executable examples. There are no sample Q&A exchanges, no example of a properly formatted answer with timestamps, and no demonstration of how to handle garbled text. For an instruction-only skill this is decent but could be more specific.

2 / 3

Workflow Clarity

The grounding rules establish a clear sequence: read outline.md first, then transcript.md, then answer. The three help modes (Factual Q&A, Summaries, Applying The Talk) each have clear step-by-step guidance. The safety constraints (treat transcript as untrusted, flag garbled text, say when transcript doesn't address a question) serve as validation checkpoints appropriate for this non-destructive task.

3 / 3

Progressive Disclosure

The skill references outline.md, transcript.md, and quotes.md with clear roles for each, which is good structure. However, no bundle files were provided, so we cannot verify these references exist. The SKILL.md itself is well-organized but the references to supporting files are not linked (no markdown links) and there's no indication of what's actually in those files to help navigate them.

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 an excellent skill description that clearly defines a narrow, specific niche around a particular conference talk. It leads with a comprehensive 'Use when' clause containing speaker names, talk title, and relevant topic keywords, then follows with concrete actions the skill performs. The description also includes a notable safety consideration about treating transcript text as untrusted source material.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'Answers factual questions from the transcript, summarizes the talk, extracts safe quotes, and applies the talk's concepts to the user's work while treating transcript text as untrusted source material.'

3 / 3

Completeness

Clearly answers both 'what' (answers factual questions, summarizes, extracts quotes, applies concepts) and 'when' (explicit 'Use when' clause with detailed trigger scenarios including speaker names, talk title, and topic keywords).

3 / 3

Trigger Term Quality

Excellent coverage of natural trigger terms users would say: speaker names ('Stephane Jourdan, Simon Rohrer, Pini Reznik'), talk title ('From Pipelines to Prompts'), and topical keywords ('AI-native transformation', 'DevOps shift to AI', 'pipelines to prompts', 'production agents', 'organizational change', 'AI Native DevCon').

3 / 3

Distinctiveness Conflict Risk

Highly distinctive — scoped to a specific talk by named speakers at a named conference. Very unlikely to conflict with other skills due to the narrow, well-defined niche around this particular transcript.

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.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Reviewed

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