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talk-maple-aind-devcon-welcome

Answers questions about and summarizes key points from Simon Maple's "Welcome to AI Native DevCon" opening talk (Tessl, AI Native DevCon 2026). Use when the user asks about the conference app and QR code flow, workshop registration, the Agentic Genius Bar, session skills generated via Granola, the three tracks (context window / latent space / tool pool), the hallway track concept, Simon's three-part attendee challenge, the AI Native Dev Discord community, prizes and swag logistics, or general housekeeping for the event.

71

Quality

88%

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SecuritybySnyk

High

Do not use without reviewing

SKILL.md
Quality
Evals
Security

Quality

Content

77%Scale 1-3

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 instruction skill for answering questions about a specific conference talk. Its strengths are clear workflow sequencing, strong grounding rules that prevent hallucination, and actionable guidance with an edge-case table. The main weakness is that the referenced bundle files (outline.md, transcript.md, quotes.md) are not provided, making it impossible to fully verify the progressive disclosure structure, and there's minor verbosity in the example section.

Suggestions

Remove or simplify the example section — the placeholder quote pattern adds little value and could be replaced with a one-line note like 'Always include at least one verbatim block quote from transcript.md'

Ensure bundle files (outline.md, transcript.md, quotes.md) are included so the skill is functional and references can be verified

DimensionReasoningScore

Conciseness

The content is mostly efficient and doesn't over-explain concepts Claude already knows, but there's some redundancy — the example with a placeholder quote adds little value, and the grounding rules could be slightly tighter. The edge-case table is useful but the 'ambiguous question' row is something Claude would naturally do.

2 / 3

Actionability

The skill provides very concrete, step-by-step guidance: specific files to consult (outline.md, transcript.md, quotes.md), exact ordering of operations, clear formatting rules for quotes vs paraphrases, and an edge-case table with specific handling instructions. This is highly actionable for a non-code instruction skill.

3 / 3

Workflow Clarity

The workflow is clearly sequenced: check quotes.md first, then use outline.md to locate sections, then read transcript.md, then compose the answer with verbatim quotes. Validation is built in via the rule to never fabricate quotes and to explicitly state when information isn't available. The edge-case table provides clear decision paths for ambiguous situations.

3 / 3

Progressive Disclosure

The skill references outline.md, transcript.md, and quotes.md as supporting files, which is good progressive disclosure in principle. However, no bundle files were provided, so we can't verify these references exist. The SKILL.md itself is well-structured with clear sections, but the referenced files are critical to the skill's function and their absence makes navigation unverifiable.

2 / 3

Total

10

/

12

Passed

Description

100%Scale 1-3

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 identifies a very specific domain (Simon Maple's opening talk at AI Native DevCon 2026), lists concrete capabilities (answering questions, summarizing key points), and provides an explicit and comprehensive 'Use when' clause with numerous specific trigger terms. The description is well-structured, uses third person voice, and would be easily distinguishable from any other skill.

DimensionReasoningScore

Specificity

The description lists multiple specific concrete actions and topics: answering questions about the conference app/QR code flow, workshop registration, Agentic Genius Bar, session skills via Granola, three tracks, hallway track concept, attendee challenge, Discord community, prizes/swag logistics, and general housekeeping.

3 / 3

Completeness

Clearly answers both 'what' (answers questions about and summarizes key points from Simon Maple's opening talk) and 'when' (explicit 'Use when' clause with a comprehensive list of trigger scenarios).

3 / 3

Trigger Term Quality

Includes highly specific natural keywords users would say: 'conference app', 'QR code', 'workshop registration', 'Agentic Genius Bar', 'Granola', 'context window', 'latent space', 'tool pool', 'hallway track', 'Discord community', 'prizes', 'swag', 'Simon Maple', 'AI Native DevCon'. These are terms attendees would naturally use.

3 / 3

Distinctiveness Conflict Risk

Extremely specific niche — it's about one particular talk by a named speaker at a named conference. The highly specific trigger terms (Agentic Genius Bar, Granola, AI Native DevCon 2026, Simon Maple) make it virtually impossible to conflict with other skills.

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

Repository
AINativeDev/aidevcon-2026-ldn
Reviewed

Table of Contents

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