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talk-jones-odevo-ai-native-transformation

Use when the user asks about Daniel Jones (Deejay) and Tomasz's talk "More software, faster — Odevo's AI Native transformation" — including questions about how Odevo (Sweden's third-largest private tech company, residential property management) rolled out agentic coding to its developers, the discovery → workshops → pilot → training → train-the-trainer playbook, prerequisites for adopting agentic coding (CI/CD, platform, tests, coding standards), liberating structures and TRIZ workshop techniques, context window management, the 94% AI adoption metric, the 8-years-to-3-weeks platform rewrite, shifting bottlenecks to product, the "everyone a builder" vision, or applying re-cinq's AI-native transformation approach to their own organisation.

Quality

88%

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Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

86%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.

A well-structured reference skill with highly actionable, situation-specific guidance and a clean one-level-deep file scheme with explicit lookup ordering. The main gaps are mild redundancy (the Factual Q&A steps restate the grounding rules; the intro repeats the description) and the absence of a final quote-verification checkpoint in the workflows.

Suggestions

Deduplicate the 'Factual Q&A' section: it restates grounding rules 1–4 step-for-step — collapse it into a pointer to the grounding rules, or fold the grounding rules into the Q&A section so each instruction appears once.

Add a final verification step to the answer workflows (e.g., 'Before delivering, re-check every quoted excerpt against transcript.md') to close the workflow-clarity gap.

Trim the intro paragraph's second half (the 94% adoption / 3-week rewrite / bottleneck outcomes), which duplicates the frontmatter description and will be re-derived from transcript.md in use.

DimensionReasoningScore

Conciseness

The body is dense and skill-specific throughout (speaker-attribution caveats, speech-to-text artifacts like 'magenta coding' and 'Ralph Wiggum loops', exact fallback phrasings) and assumes competence rather than explaining known concepts. However, the 'Factual Q&A' numbered steps restate grounding rules 1–4 almost verbatim, and the intro paragraph duplicates the description's outcomes summary — trimmable duplication that places it at anchor 4 rather than the fully lean anchor 5, but well above anchor 3 since almost every token is non-obvious guidance.

4 / 5

Actionability

Guidance is fully executable for an instruction-only skill: exact file lookup order ('Read `outline.md` first to find the relevant section(s)', 'Read the matching range of `transcript.md`'), exact named sub-sections to consult ('outline.md → "Named frameworks / concepts"', '"Terminology glossary"'), exact output conventions ('say "the talk doesn't address this"', '[not from talk — added as a starting placeholder]', covered/partial/missing verdicts). Matches anchor 5; no missing execution details for the common task modes.

5 / 5

Workflow Clarity

Every task mode has a clear numbered sequence with explicit grounding checkpoints ('If a claim isn't in `transcript.md`, say "the talk doesn't address this"'; 'Cross-reference any named addressee with the speaker context in `outline.md` before attributing'; 'If the framework genuinely doesn't fit... say so'). It falls short of anchor 5 because there is no final verification pass (e.g., re-checking drafted quotes against transcript.md before delivering) and no recovery guidance when outline.md lacks the referenced section, but it is clearly above anchor 3 since checkpoints are explicit and pervasive rather than implicit.

4 / 5

Progressive Disclosure

The body is a lean overview pointing to three clearly signaled one-level-deep files, each with a stated purpose and an explicit priority order: locate via `outline.md`, then read the matched range of `transcript.md`, and 'check `quote.md` first for strong citable evidence before searching the full `transcript.md`'. No bundle files are present to verify, but as written this matches anchor 5 (well-signaled one-level-deep references, easy navigation); the few inline verbatim quotes serve as audit specifications rather than misfiled bulk content.

5 / 5

Total

18

/

20

Passed

Description

86%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, highly specific description with an explicit and richly detailed trigger clause anchored to a single named talk, comprehensive natural trigger terms, and minimal conflict risk. Its only weakness is that the skill's concrete actions (answering from the transcript, applying the playbook, auditing readiness) are implied by topic enumeration rather than explicitly stated.

DimensionReasoningScore

Specificity

The description names the domain precisely ('Daniel Jones (Deejay) and Tomasz's talk "More software, faster — Odevo's AI Native transformation"') and lists many concrete capabilities: 'questions about how Odevo... rolled out agentic coding', 'prerequisites for adopting agentic coding (CI/CD, platform, tests, coding standards)', 'applying re-cinq's AI-native transformation approach to their own organisation'. It matches anchor 4 (several specific items, minor gaps) rather than 5 because capabilities are expressed as enumerated topics rather than explicit action verbs, and activities the body actually supports (auditing readiness, drafting artifacts, teaching concepts) are not surfaced.

4 / 5

Completeness

The 'when' is explicit and highly specific ('Use when the user asks about... including questions about...'), but the 'what' — that the skill answers these questions grounded in a transcript with verbatim quotes — is only implied by the topic enumeration, never stated as a capability. This sits between anchor 4 (both present, one could be more explicit) and anchor 5 (both clearly and explicitly stated); the implicit 'what' keeps it at 4, above anchor 3 because the when-clause's enumerated topics effectively convey the skill's scope.

4 / 5

Trigger Term Quality

Comprehensive natural-term coverage with synonyms and variations users would actually say: 'Daniel Jones (Deejay)', 'Tomasz', 'Odevo', 're-cinq', 'agentic coding', 'AI Native transformation', 'liberating structures and TRIZ', 'context window management', the '94% AI adoption metric', 'the 8-years-to-3-weeks platform rewrite', '"everyone a builder"'. This matches anchor 5; it is not anchor 4 because no obvious natural phrasing for referencing this talk is missing.

5 / 5

Distinctiveness Conflict Risk

A clear niche with distinct triggers: the description is anchored to one named talk with named speakers and a named company, so it would not fire for unrelated skills. The trailing topic list ('prerequisites for adopting agentic coding', 'context window management') creates only negligible overlap risk since it is subordinated to the talk reference. Matches anchor 5; not anchor 4 because no closely related skill would realistically conflict with it.

5 / 5

Total

18

/

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

Path

Plugins/aidevcon/skills/talk-jones-odevo-ai-native-transformation/SKILL.md

Reviewed

Table of Contents

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