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talk-maple-aind-devcon-welcome

Summarizes Simon Maple's AI Native DevCon welcome and explains the conference framing: context window, latent space, tool pool, hallway track, attendee goals, and practical learning themes. Use when the user asks about the event opening, conference themes, AI-native development framing, or how to orient work around the talks.

67

Quality

84%

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SKILL.md
Quality
Evals
Security

Quality

Content

78%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is a lean, well-structured instruction set with concrete workflows, boundaries, and output templates that respect the token budget. Its one substantive defect is that all three bundle references point to files that are not present, breaking progressive disclosure at runtime.

Suggestions

Ship the referenced bundle files (outline.md, quote.md, transcript.md) alongside SKILL.md, or remove the Read Order references if the detail is meant to be inlined.

Replace the two one-line "Response shape" hints in Examples with one fully worked example (sample user question plus a complete sample response) to close the actionability gap.

Clarify where the referenced files live (e.g., references/outline.md) so the paths resolve unambiguously from the skill root.

DimensionReasoningScore

Conciseness

The ~65-line body is lean and operational throughout — Read Order, output lists, two numbered workflows, fielded templates, and two examples all carry weight, with no padding or explanation of concepts Claude already knows. Every token earns its place, matching the 5 anchor.

5 / 5

Actionability

For an instruction-only skill, the guidance is concrete: sequenced steps with specific parameters ("Answer in 2-5 sentences", "Add one short excerpt from `quote.md` only if it strengthens the answer") and structured output templates with defined fields. It falls short of fully executable 5-level guidance because the Examples section gives only one-line "Response shape" hints rather than worked input/output instances.

4 / 5

Workflow Clarity

Both workflows (factual questions and applying the talk to user work) are clearly sequenced with decision checkpoints such as "only if it strengthens the answer" and "State when the bundle does not cover a requested detail". There are no explicit validate-and-recover loops, but the skill involves no destructive or batch operations that would require them, placing it at anchor 4 rather than 5.

4 / 5

Progressive Disclosure

The in-body structure is good — references are one level deep and each is signaled with its purpose ("Use `outline.md` for the talk thesis, concept map, and safe application boundaries") — but none of the referenced files (`outline.md`, `quote.md`, `transcript.md`) exist in the bundle, so scored against the actual bundle structure the navigation is broken. The organization itself is better than anchor 2's minimal/buried structure, but the dead references keep it below 4.

3 / 5

Total

16

/

20

Passed

Description

83%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description with explicit what-and-when structure, third-person voice, and well-chosen natural triggers tied to a distinct event niche. Its main limitations are generic action verbs (summarize/explain) and a couple of trigger phrases that could overlap with sibling conference-talk skills.

DimensionReasoningScore

Specificity

The description names the domain ("Simon Maple's AI Native DevCon welcome") and enumerates six concrete content areas ("context window, latent space, tool pool, hallway track, attendee goals, and practical learning themes"), going beyond the 3 anchor's minimal coverage. It falls short of 5 because the action verbs themselves are generic ("Summarizes", "explains the conference framing") rather than multiple distinct concrete operations.

4 / 5

Completeness

It explicitly answers both questions in third person: what ("Summarizes Simon Maple's AI Native DevCon welcome and explains the conference framing: …") and when ("Use when the user asks about the event opening, conference themes, AI-native development framing, or how to orient work around the talks"). This matches the 5 anchor's clear what-and-when with concrete trigger phrases.

5 / 5

Trigger Term Quality

Good natural trigger coverage: "the event opening", "conference themes", "AI-native development framing", "how to orient work around the talks", plus the proper nouns "AI Native DevCon" and "Simon Maple". A few natural variations users might say (e.g., "keynote", "welcome talk", "opening remarks") are missing, keeping it at 4 rather than 5.

4 / 5

Distinctiveness Conflict Risk

The niche is highly distinct (named speaker, named event, "the event opening"), but triggers like "conference themes" and "how to orient work around the talks" would also naturally be said for sibling DevCon-talk skills in the same skill-set, creating minor overlap risk. This matches anchor 4 (mostly distinct, minor overlap with closely related skills) better than 5's minimal conflict risk.

4 / 5

Total

17

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository
jscraik/Agent-Skills
Reviewed

Table of Contents

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