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deepline-engine

Build, publish, and verify a Deepline Play as a durable state machine over Customer DB tables, including a small paid pilot. Invoke this skill explicitly when the user asks to build an engine.

Quality

84%

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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.

The body is an actionable, well-sequenced engineering runbook with real CLI commands, explicit edge-case validation, and a genuine one-level reference file. Its weaknesses are repetition of the paid-pilot workspace rules across three sections and inline bulk (publication runbook, deliverables) that belongs in a second reference file.

Suggestions

State the paid-pilot workspace rules (internal/test workspace only, the one-case post-fix acceptance in docs/production-paid-call-verification.md, no customer workspaces) once — in the publication section — and reference that single statement from Workflow step 11 and the Invariants instead of restating them three times.

Move the detailed 11-step publication/pilot runbook and the Deliverable checklist into a second reference file (e.g., references/paid-pilot-runbook.md) to keep SKILL.md a lean overview.

Include a minimal complete orchestrator '.play.ts' example (or point to one in references) showing state decision, deepline.runPlay dispatch, and idempotent persistence, instead of only the inline signature fragment.

DimensionReasoningScore

Conciseness

Mostly efficient, rule-dense prose with no basic-concept padding, but the paid-pilot workspace rules (no customer workspace, the docs/production-paid-call-verification.md runbook, the one-case acceptance) are restated across Workflow step 11, the 'Automatic publication and verification' section, and the Invariants, and step 11 is a run-on paragraph that could be tightened. Not 2 because the majority of sections (Core model, steps 1-10, UI navigation) are lean with every sentence carrying a rule.

3 / 5

Actionability

Concrete, executable commands throughout — 'deepline search "<transition input -> transition outcome>" --type plays', 'deepline plays settings set --play <name> --name path --value ...', 'deepline plays get <name> --source --live' — plus a concrete '.play.ts' shape and the 'billing.maxCreditsPerRun' setting. Not 5 because the central artifact (the orchestrator Play) is shown only as an inline signature fragment ('export default async function (input: EngineInput) { ... }') rather than a complete example, and no sample table schema is given.

4 / 5

Workflow Clarity

A clearly sequenced 11-step workflow with an explicit validation step ('Validate every edge' enumerating invalid states, child failures, and replay of a completed transition) and a separate dependency-ordered publication checklist with per-step verification ('read its Live version and Live max credits per run lines') and explicit stop-on-failure feedback loops. Matches the anchor for explicit validation steps, error recovery, and checklists; the paid/batch operations all carry verification, so no cap applies.

5 / 5

Progressive Disclosure

Good section structure and one clearly signaled, real, one-level-deep reference ('Read references/state-machine-contract.md when designing the transition table, Customer DB table roles, Play shape, and tests'), whose content matches the promise. Not 5 because the ~50-line publication/pilot runbook and the long Deliverable list are inlined in SKILL.md where a second reference file would keep the overview leaner; not 3 because the reference is clearly signaled and structure is solid.

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 strong: it states concrete actions with a domain-specific vocabulary, gives an explicit 'when' clause with a natural trigger phrase, and occupies a distinct niche unlikely to collide with other skills. The only improvements are marginal — broadening trigger synonyms and mentioning the transition-Play authoring surface.

DimensionReasoningScore

Specificity

Names several concrete actions — 'Build, publish, and verify a Deepline Play as a durable state machine over Customer DB tables, including a small paid pilot' — plus a concrete artifact and storage target. Not 5 because coverage has minor gaps (transition Plays, table contracts, deliverables are unmentioned); not 3 because it lists more than 1-2 specific actions.

4 / 5

Completeness

Explicitly answers both: the 'what' ('Build, publish, and verify a Deepline Play as a durable state machine over Customer DB tables, including a small paid pilot') and the 'when' with a concrete trigger phrase ('Invoke this skill explicitly when the user asks to build an engine'). Matches the anchor for clearly and explicitly answering both.

5 / 5

Trigger Term Quality

Natural phrases a user would say are present — 'build an engine', 'publish', 'verify', 'state machine', 'paid pilot'. Not 5 because common synonyms like 'orchestrator', 'workflow', or 'orchestrate' are missing; not 3 because keyword coverage is good, not partial.

4 / 5

Distinctiveness Conflict Risk

A clear niche with distinct triggers — 'Deepline Play', 'Customer DB tables', 'paid pilot' — that no generic skill would share, and the trigger ('asks to build an engine') is scoped to this domain. Minimal conflict risk.

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

getaero-io/gtm-eng-skills

Path

skills/deepline-engine/SKILL.md

Reviewed

Table of Contents

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