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talk-maple-ai-native-devcon-welcome-slick

Use when the user asks about the "Welcome to AI Native DevCon" talk introducing Slick (slick.com) — a browser-native agent that controls the browser it runs in. Covers Slick's architecture (sprinkles, scoops, licks, the cone), how it uses HTTP / Chrome Debug Protocol / WebRTC, pyagent as the agentic loop, skills as "step zero of agent enablement", MCP and webMCP support, remote-controlling Electron apps (Slack, Teams, Claude desktop) via Slick Star, ad hoc generative UI, OAuth token handling, and verbatim quotes from the talk. Also use when the user wants to apply this browser-native agent approach to their own work.

71

Quality

88%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Critical

Do not install without reviewing

The canonical home for this skill is ainativedev/aidevcon-2026-ldn

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-only skill with clear, actionable workflows for handling questions about a specific conference talk. Its main strength is the explicit grounding rules and careful handling of attribution ambiguity. Its main weakness is internal redundancy — the grounding rules and per-section instructions repeat the same guidance (consult outline.md first, quote verbatim, don't infer), which inflates token cost without adding clarity.

Suggestions

Consolidate the repeated instructions (read outline.md first, quote verbatim, say when info isn't in transcript) into the grounding rules section only, and have each workflow section reference those rules rather than restating them.

Confirm that the referenced files (outline.md, transcript.md, quotes.md) are included in the bundle, or note their expected locations explicitly so the skill is self-contained.

DimensionReasoningScore

Conciseness

The skill is moderately efficient but includes some redundancy — the grounding rules and the 'How to help' sections overlap significantly (e.g., 'read outline.md then transcript.md' and 'quote verbatim' are repeated across multiple sections). The introductory paragraph also restates information that could be condensed. However, it avoids explaining concepts Claude already knows.

2 / 3

Actionability

The skill provides concrete, step-by-step procedures for each use case (factual Q&A, applying the approach, proactive surfacing, teaching concepts). Each workflow has specific instructions about which files to consult, how to quote, and when to disclaim. For an instruction-only skill (no code needed), the guidance is highly specific and actionable.

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 idea genuinely doesn't fit the user's situation, say so,' and clear instructions to mark non-talk content. The grounding rules provide an additional layer of guardrails.

3 / 3

Progressive Disclosure

The skill references outline.md, transcript.md, and quotes.md as supporting files, which is good progressive disclosure structure. However, no bundle files were provided, so we cannot verify these references exist. The SKILL.md itself is somewhat long with repetitive content across sections that could be consolidated, and the relationship between grounding rules and the per-workflow instructions creates redundancy rather than clean layering.

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 is highly specific, complete, and distinctive. It clearly identifies both what the skill covers (detailed architecture, protocols, and features of Slick from a specific conference talk) and when to use it (when users ask about the talk or want to apply the approach). The abundance of specific, natural trigger terms makes it easy for Claude to correctly select this skill.

DimensionReasoningScore

Specificity

The description lists numerous specific concrete capabilities: Slick's architecture components (sprinkles, scoops, licks, the cone), protocols (HTTP, Chrome Debug Protocol, WebRTC), pyagent as the agentic loop, skills, MCP/webMCP support, remote-controlling Electron apps, generative UI, OAuth token handling, and verbatim quotes.

3 / 3

Completeness

Clearly answers both 'what' (covers Slick's architecture, protocols, features, verbatim quotes from the talk) and 'when' with explicit triggers ('Use when the user asks about the Welcome to AI Native DevCon talk' and 'Also use when the user wants to apply this browser-native agent approach to their own work').

3 / 3

Trigger Term Quality

Includes highly specific natural trigger terms a user would say: 'Welcome to AI Native DevCon', 'Slick', 'slick.com', 'browser-native agent', 'Chrome Debug Protocol', 'WebRTC', 'pyagent', 'MCP', 'webMCP', 'Slick Star', 'Electron apps', 'Slack', 'Teams', 'Claude desktop'. These are precise terms someone familiar with the talk would use.

3 / 3

Distinctiveness Conflict Risk

Extremely distinctive — tied to a specific talk ('Welcome to AI Native DevCon'), a specific product (Slick/slick.com), and highly specialized terminology. Very unlikely 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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