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aidevcon-2026-factory-of-factories

Explain or summarize "The Software Factory of Factories", Baruch Sadogursky's (Port) AI DevCon NYC 2026 talk, delivered November 4. Use for questions about its fictional enterprise committee, approval meanings and evidence, shared context lake, governed departmental workflows, compliance reversal, and Q&A on existing interfaces and integrations. Supplies the talk's argument, examples, qualifications and sources; does not activate for an unrelated implementation or platform-setup request.

Quality

85%

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SKILL.md
Quality
Evals
Security

Quality

Content

75%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-built self-contained knowledge brief: it sequences a two-step usage workflow with an explicit relevance gate, supplies dense talk-specific material, and repeatedly bounds what the sources actually establish. All dimensions land at 4 — solid, with minor trim, example, and fallback-step opportunities.

Suggestions

Consolidate the recurring 'this does not establish / not a live demonstration' caveats into a single evidence-boundaries list near the top, referenced once per section instead of restated, to tighten conciseness.

Add a short worked example contrasting a one-line summary answer with a detailed answer so 'Answer at the requested depth' becomes concrete guidance.

Add an explicit fallback step for when a needed quotation or detail is missing from both the brief and the linked recording, so the workflow has an error-recovery path.

DimensionReasoningScore

Conciseness

The body is dense and talk-specific with no explanations of concepts Claude already knows ('The company, committee and characters are fictional', the per-character evidence table), but the evidence-boundary caveat pattern ('not a timed live demonstration', 'does not establish the universal legal claim') recurs across nearly every section and could be consolidated. Efficient with minor instances of over-explanation, matching anchor 4 rather than 3.

4 / 5

Actionability

Concrete instruction-only guidance: 'Process steps in order. Do not skip ahead', 'Distinguish the speaker's claims, what the fictional story illustrates, and what a source actually establishes', 'Do not invent quotations, numbers, audience reactions or implementation results', backed by a specific evidence table. Falls short of anchor 5 only because 'Answer at the requested depth' lacks a worked example of a depth-appropriate answer.

4 / 5

Workflow Clarity

Two clearly sequenced steps with an explicit mismatch gate ('For a different delivery or an unrelated implementation request, explain the mismatch and finish; otherwise continue to Step 2') and explicit termination ('Preserve the evidence boundaries below and finish after answering'). Not anchor 5 because there is no error-recovery loop for edge cases such as a needed quotation being absent from both the brief and the recording.

4 / 5

Progressive Disclosure

No bundle files exist (no references/, scripts/, or assets/), and the body is deliberately self-contained ('The brief is self-contained; ordinary use does not require private notes, a vault or supporting files') with well-organized section headers and a clearly labeled sources list. Well-structured but a single long inline brief rather than split one-level-deep references, so anchor 4 fits better than the simple-skill or split-structure 5.

4 / 5

Total

16

/

20

Passed

Description

87%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.

The description is exemplary: it states what the skill supplies, gives explicit 'Use for' triggers tied to the talk's actual topics, and closes with a negative trigger that prevents misactivation on generic platform or implementation requests. Only minor headroom remains in action enumeration and trigger synonym coverage.

DimensionReasoningScore

Specificity

Lists several specific actions and deliverables — 'Explain or summarize', 'Supplies the talk's argument, examples, qualifications and sources' — plus an explicit non-goal ('does not activate for an unrelated implementation or platform-setup request'). Matches anchor 4; not 3 because coverage goes beyond 1-2 generic actions, not 5 because the action set stays narrow (explain/summarize/answer) rather than enumerating multiple distinct operations.

4 / 5

Completeness

Clearly and explicitly answers both questions: what ('Explain or summarize… Supplies the talk's argument, examples, qualifications and sources') and when ('Use for questions about its fictional enterprise committee, approval meanings and evidence, shared context lake…' plus the negative trigger 'does not activate for an unrelated implementation or platform-setup request'). Matches the anchor-5 example pattern of concrete 'what' plus explicit 'Use when' triggers.

5 / 5

Trigger Term Quality

Natural trigger terms are well covered: the talk title 'The Software Factory of Factories', 'Baruch Sadogursky's (Port) AI DevCon NYC 2026 talk', and topical phrases users would echo ('shared context lake', 'compliance reversal', 'governed departmental workflows', 'approval meanings and evidence'). Anchor 4 rather than 5 because a few natural variations (e.g., 'keynote', 'software factory talk') are absent.

4 / 5

Distinctiveness Conflict Risk

A clear niche — one identifiable talk with named speaker, company, event, and delivery date — with an explicit exclusion for unrelated implementation or platform-setup requests. Minimal conflict risk with any other skill, matching anchor 5.

5 / 5

Total

18

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

jbaruch/shownotes

Path

_skills/aidevcon-nyc-2026-factory-of-factories/SKILL.md

Reviewed

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