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wf-planning-fusion-optimizer

Review an exported Adobe Workfront Planning + Fusion scenario blueprint (.json) for performance, speed, resource use, and API call volume, and produce a prioritized optimization self-review. Use this whenever someone shares a Fusion scenario that uses Workfront Planning (Maestro) and wants it faster, cheaper, or more reliable: slow runs, long execution time, scenario timeouts, high operations consumption, too many API calls, or rate-limit / 429 errors, especially when it works in test but breaks under load or at scale. Trigger for phrases like "make my Fusion scenario faster", "why is this Planning scenario so slow", "reduce operations or API calls", "our replication or sync scenario times out", or "review this blueprint". It is specific to the Workfront Planning connector: if a scenario does not use Planning, it says so and does not apply. Read-only; it does not modify the blueprint.

Quality

93%

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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 instruction-only skill: executable commands with options documented, a clearly sequenced read-only workflow with conditionals and an honesty check on reported numbers, and clean progressive disclosure into two condition-signaled reference files. The only weaknesses are mild redundancy around the read-only/scope claims and the absence of guidance for script-level failures.

Suggestions

Consolidate the read-only and scope-guard statements (currently in 'What this does', 'Scope', the MCP section, and the frontmatter description) into a single statement to save tokens.

Add a brief error-recovery note for the run step (e.g., what to do if the export is malformed or the script exits with an error) to close the workflow's validation gap.

Merge the two explanations of the operations/iteration-depth model ('What this does' and 'How to explain the findings') so the model is stated once and then referenced.

DimensionReasoningScore

Conciseness

The body is dense and mostly purposeful — Fusion-specific facts Claude won't know ("there is no bulk-read endpoint", operations/iteration-depth model) earn their tokens. But the read-only claim repeats the frontmatter and itself ("It reports; it never modifies the blueprint", "This step is strictly read-only"), the scope guard appears twice, and the operations model is explained in both "What this does" and "How to explain the findings" — anchor 4's minor over-explanation that could be trimmed.

4 / 5

Actionability

Copy-paste-ready commands cover the common cases: "python scripts/analyze_blueprint.py <blueprint.json> [<blueprint2.json> ...]", "--callmix <calls.csv>", "Add `--json` for a machine-readable result", and "--ids", with the CSV's required columns specified ("Resource, Method, Status Code, and optionally Duration"). Matches anchor 5.

5 / 5

Workflow Clarity

A clear three-step sequence (get files, run, "Present the Markdown report as the deliverable") with explicit conditionals (non-Planning blueprints "returns a clear 'not applicable' result listing the connectors it did find"; "if no MCP is connected, skip it") and a fidelity check ("Do not invent numbers the script did not produce"). Falls short of anchor 5 because there is no error-recovery guidance if the script itself fails or the export is malformed — minor validation gaps, matching anchor 4.

4 / 5

Progressive Disclosure

A concise overview with two verified, one-level-deep references, each clearly signaled with a read condition: "Finding codes, their rationale, and recommended fixes are in `references/findings.md`. Read it when you need the full explanation for a code" and "The full workflow, and one important caveat ... are in `references/mcp-enrichment.md`. Read it when a Planning MCP is available." Only summaries are inlined; both files exist and contain exactly what is promised. Matches anchor 5.

5 / 5

Total

18

/

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 exemplary: it states a concrete multi-dimension review action and deliverable, gives an explicit 'Use this whenever...' clause backed by verbatim trigger phrases and symptom terms, and fences its scope with a self-declaring not-applicable guard. Every clause carries trigger or scope information with no fluff.

DimensionReasoningScore

Specificity

Concrete actions are enumerated across four named dimensions ("Review an exported Adobe Workfront Planning + Fusion scenario blueprint (.json) for performance, speed, resource use, and API call volume") plus a defined deliverable ("produce a prioritized optimization self-review"), and nothing the skill does is left out. Matches anchor 5 rather than 4 because there are no coverage gaps, and the negative scope ("if a scenario does not use Planning, it says so and does not apply") adds precision rather than padding.

5 / 5

Completeness

Explicitly answers both questions: what ("Review an exported ... blueprint (.json) for performance, speed, resource use, and API call volume, and produce a prioritized optimization self-review") and when with concrete trigger phrases ("Use this whenever someone shares a Fusion scenario that uses Workfront Planning (Maestro) and wants it faster, cheaper, or more reliable ... Trigger for phrases like ..."). Matches anchor 5 exactly.

5 / 5

Trigger Term Quality

Comprehensive natural-language triggers: symptom phrases ("slow runs, long execution time, scenario timeouts, high operations consumption, too many API calls, or rate-limit / 429 errors"), verbatim user quotes ("make my Fusion scenario faster", "why is this Planning scenario so slow"), synonyms ("Workfront Planning (Maestro)", "replication or sync"), and the file extension ("blueprint (.json)"). Matches anchor 5's comprehensive coverage including synonyms and extensions.

5 / 5

Distinctiveness Conflict Risk

A hard niche with an explicit scope guard ("It is specific to the Workfront Planning connector: if a scenario does not use Planning, it says so and does not apply") leaves minimal overlap risk with general Fusion or other connector skills. Matches anchor 5's clear niche with distinct triggers.

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.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository

adobe/skills

Path

plugins/workfront/skills/wf-planning-fusion-optimizer/SKILL.md

Reviewed

Table of Contents

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