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ux-agentico

UX agéntico Nicolify. Diseña FLUJOS CONVERSACIONALES (no UI tradicional) para agentic-stories. Toma 01-spec.md y produce 02-design-agentic.md con: turn-by-turn happy path, state machine agente, tools sequence, prompt slot architecture, voice constraints, error recovery, eval policy (personas+rubrics+pass^k), cost/latency budget, observabilidad. Carga skills sales-agent-expert, copilot-expert, tessl__langgraph, claude-api. Si descubre edge cases → delta-spec.md → /po ratifica. Activa cuando user dice: '/ux-agentico', 'diseñemos el flujo conversacional', 'cómo conversa el agente', 'flujo del copilot', 'turn-by-turn', 'experiencia agéntica'.

70

Quality

86%

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SKILL.md
Quality
Evals
Security

Quality

Content

72%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 content is a well-structured, action-oriented workflow with strong sequencing, concrete templates, and explicit error-recovery and approval loops. Its main weakness is progressive disclosure: a large amount of reference-grade material (prompt slot architecture, eval policy, recovery matrix, cost budget) is inlined in SKILL.md with no bundle files to offload it, which is acceptable for a self-contained skill but leaves the overview heavier than ideal.

Suggestions

Extract the prompt slot architecture (Step 5), error recovery matrix (Step 7), and eval policy (Step 8) into a references/ file (e.g. references/agentic-design-details.md) and link from the body, so SKILL.md stays a lean overview with one-level-deep references.

Add an explicit validate-then-proceed checkpoint between Step 4 (tools sequence) and Step 5 (prompt slots) — e.g. confirm forbidden tools are listed before defining cache slots — to lift workflow clarity toward 5.

Tighten the Anti-patterns section to entries not already implied by the slot/cache rules, removing redundancy with Step 5 to improve token efficiency.

DimensionReasoningScore

Conciseness

The body is dense and largely token-efficient — tables, ASCII diagrams, and code blocks deliver guidance without explaining concepts Claude already knows. A few sections restate obvious constraints (e.g. the Anti-patterns list partly duplicates slot rules), which keeps it just below a 5 but well above the 3 anchor.

4 / 5

Actionability

It provides concrete, copy-paste-ready templates: the Turn 1/Turn 2 transcript, slot-layout block, state-machine diagram, and populated tables for tools, recovery, and eval policy. It is not a 5 because several items are schemas/templates to fill rather than fully executable commands (e.g. 'Compactar (system + last 3 turns)' is guidance, not runnable code).

4 / 5

Workflow Clarity

Thirteen clearly sequenced steps with explicit checkpoints (Step 1 scope validation, Step 11 delta-spec escalation, Step 12 iterate-until-approval loop) and a recovery matrix provide strong sequencing. It does not reach 5 because several steps lack an explicit validate-then-proceed gate, though the Step 12 approval loop and error-recovery table cover most feedback needs.

4 / 5

Progressive Disclosure

No references/, scripts/, or assets/ bundle files exist, and the body inlines all guidance (slot architecture, recovery matrix, eval policy, cost budget) in a single ~245-line file with clear section headers but no one-level-deep references to separate files. Per the simple-skill guidance this could reach 5, but the volume of inlined reference material (slot architecture, eval policy tables) that would benefit from separate files lands it at the 3 anchor of 'some structure, content that should be separate is inline'.

3 / 5

Total

15

/

20

Passed

Description

100%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 specific, complete, and trigger-rich: it names the deliverable (02-design-agentic.md) and its subsections, lists loaded skills, and provides explicit natural-language activation triggers. It does not use third-person voice consistently ('Toma', 'Carga', 'Activa' are third-person imperatives which is acceptable), so no voice penalty applies. It is an exemplar of the good-overall pattern.

DimensionReasoningScore

Specificity

Lists many concrete deliverables and actions — 'turn-by-turn happy path, state machine agente, tools sequence, prompt slot architecture, voice constraints, error recovery, eval policy, cost/latency budget, observabilidad' — with comprehensive coverage of the skill's output, matching the score-5 anchor of multiple specific concrete actions.

5 / 5

Completeness

It clearly answers both 'what' (designs conversational flows producing 02-design-agentic.md with enumerated sections) and 'when' ('Activa cuando user dice...' with concrete trigger phrases), matching the score-5 anchor for explicit what-and-when with concrete triggers.

5 / 5

Trigger Term Quality

An explicit 'Activa cuando user dice:' clause enumerates natural trigger phrases a user would actually say ('diseñemos el flujo conversacional', 'cómo conversa el agente', 'flujo del copilot', 'turn-by-turn', 'experiencia agéntica') plus the slash command, giving comprehensive coverage of natural terms.

5 / 5

Distinctiveness Conflict Risk

A clear niche — agentic conversational-flow design distinct from /ux-ui (explicitly contrasted via unique triggers like 'turn-by-turn', 'flujo del copilot', 'experiencia agéntica') — yields minimal conflict risk with other skills, matching the score-5 anchor.

5 / 5

Total

20

/

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.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

Total

15

/

16

Passed

Repository
alpacapurpura/ap_sales_agent
Reviewed

Table of Contents

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