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talk-maleix-collective-intelligence

Provides detailed answers, conceptual explanations, workflow guidance, and framework-based analysis about Edouard Maleix's talk "How AI-First Dev Teams Build Collective Intelligence — One Attributed Mistake at a Time." Use when the user asks about giving coding agents their own identity and signed commits, the diary/entry/pack/render workflow, turning agent mistakes into reusable team knowledge, evaluating knowledge packs for fidelity and usefulness, voluntary task picking by autonomous agents, the MoltNet open-source project, compound engineering, or applying his approach to make agent lessons compound across a team instead of evaporating into chat history.

66

Quality

83%

Does it follow best practices?

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SecuritybySnyk

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SKILL.md
Quality
Evals
Security

Quality

Content

73%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 a clearly sequenced lookup procedure, explicit fallbacks and safety rules, and well-signaled one-level-deep references. The main cost is duplication between the "Grounding rules" and "Standard lookup procedure" sections, and a small bundle-description inconsistency around quote.md.

Suggestions

Merge "Grounding rules — MUST follow" with the "Standard lookup procedure" into a single procedure section; they repeat the same read-outline → read-transcript → quote-with-line-numbers → no-outside-inference loop and cost ~20 lines.

Add `quote.md` to the "Expected bundle files" section (and change "two companion files" to three), since it is currently introduced only at the end; also fix the repeated grammatical artifact "in a **safe excerpts**" to "in a safe excerpt".

Include one short worked example of a grounded answer (a quoted excerpt with a transcript line range and an inline "(likely 'AI')" artifact note) to show the exact output format the procedure prescribes.

DimensionReasoningScore

Conciseness

The body is mostly efficient — the opening thesis summary and transcript-artifact caveats are non-obvious information Claude cannot know — but "Grounding rules" (steps 1–6) and "Standard lookup procedure" (steps 1–5) substantially duplicate each other: read outline.md, read the transcript range, quote grounded excerpts with line numbers, refuse to infer outside knowledge. That ~20-line overlap, plus repeated "safe excerpts" phrasing (with a grammatical error, "in a **safe excerpts**"), means it could be tightened; not verbose enough for anchor 2, which requires several padded or unnecessary explanation sections.

3 / 5

Actionability

For an instruction-only skill the guidance is largely concrete: exact fallback phrasings ("the talk doesn't address this"), citation format (line ranges), an inline flag format (`[not from talk — added as a starting placeholder]`), and per-use-case step lists. It sits at anchor 4 rather than 5 because no worked example of a grounded answer is provided and a few steps remain abstract ("walk through applying it step-by-step to the user's case") without a template.

4 / 5

Workflow Clarity

The lookup sequence is explicit and ordered (read outline.md → read the transcript range → ground every claim with line numbers → explicit fallback if absent → flag additions), with genuine error-recovery checkpoints: "If either file is missing, tell the user you cannot ground your answer", "If a claim isn't in transcript.md, say 'the talk doesn't address this'", "If the framework genuinely doesn't fit... say so", and "Do not over-cite. If the connection feels strained, stay quiet." No destructive or batch operations are involved, so the validation cap does not apply.

5 / 5

Progressive Disclosure

Structure is good: a dedicated "Expected bundle files" section clearly signals each reference (outline.md with its lookup tables, transcript.md with its format) and what to do if missing, and all references are one level deep. It falls short of anchor 5 because `quote.md` is only introduced at the very end and is not listed in the "Expected bundle files" section (which says "two companion files" despite a third being referenced), leaving a small navigation inconsistency.

4 / 5

Total

16

/

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 description with an explicit "Use when" clause carrying comprehensive, natural trigger terms and a clearly named, highly distinctive niche. The main weakness is that the capability verbs are generic ("provides detailed answers", "workflow guidance") rather than concrete, and they omit drafting/auditing capabilities the body actually supports.

DimensionReasoningScore

Specificity

The description lists four capability verbs — "Provides detailed answers, conceptual explanations, workflow guidance, and framework-based analysis" — but these are generic service actions rather than concrete operations, and the real specificity comes from the topic enumeration. It matches anchor 3 (names domain and some actions, not comprehensive) rather than 4, whose example actions ("extracts text from PDF files, fills forms") are tangibly concrete; it also omits capabilities the body covers (drafting artifacts, auditing the user's setup).

3 / 5

Completeness

It explicitly answers both questions: what it does ("Provides detailed answers, conceptual explanations, workflow guidance, and framework-based analysis about Edouard Maleix's talk...") and when to use it ("Use when the user asks about...") followed by a concrete list of trigger phrases. This matches the anchor 5 example structure exactly; anchor 4 would require the 'when' to be less explicit.

5 / 5

Trigger Term Quality

The "Use when" clause comprehensively covers natural trigger phrasings: "giving coding agents their own identity and signed commits", "the diary/entry/pack/render workflow", "turning agent mistakes into reusable team knowledge", "voluntary task picking by autonomous agents", "the MoltNet open-source project, compound engineering", plus synonyms like "make agent lessons compound across a team instead of evaporating into chat history", and the talk title and speaker name. Anchor 5's comprehensive coverage including synonyms is clearly met; anchor 4 would require several of these to be missing.

5 / 5

Distinctiveness Conflict Risk

The niche is highly distinct — a specific named speaker, talk title, and unique terminology (diary/entry/pack/render, MoltNet, voluntary task picking) with minimal conflict risk. It falls just below anchor 5 because phrases like "signed commits" and "compound engineering" could plausibly trigger this skill for a user asking a generic git commit-signing or engineering-practice question, which is a minor overlap risk rather than minimal.

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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