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agently-agentic-design

Use to design, understand, tune, or audit a non-trivial model workflow, including framework-undecided designs, partial implementations, and production reviews: model-node responsibilities, input/output completeness, data-flow correctness or redundancy, model-versus-Host/workflow ownership, topology, evidence, lifecycle, concurrency, or observed execution effects. The user need not say Prompt review or name Agently. Use agently-request for one request family and agently-triggerflow for already-decided executable orchestration details.

Quality

87%

Does it follow best practices?

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SKILL.md
Quality
Evals
Security

Quality

Content

77%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 dense, rule-heavy methodology body with an excellent reference architecture: a question-to-file navigation map, one-level-deep references that all exist, an ordered diagnostic workflow with explicit feedback escalation, and a completion-gate checklist. Its main weakness is token efficiency — the version-check preamble and multi-clause boundary prose could be significantly tightened — and the absence of a worked example keeps actionability short of fully concrete.

Suggestions

Move the read-only version-check policy into a reference file (or compress it to 3-4 lines) so the skill opens with the design method instead of peripheral update-checking mechanics.

Add a small worked example — e.g., a two-node excerpt of the owner/node/edge ledgers — so the Required Topology Contract is concrete rather than purely prescriptive.

Split multi-clause boundary sentences (e.g., the Non-Negotiable Boundaries bullets) into shorter atomic rules to reduce re-reading cost per rule.

DimensionReasoningScore

Conciseness

The body avoids explaining known concepts, but the opening "First use: read-only version check" section spends ~20 lines of micro-policy ("6 s / 64 KB", retry/silence rules, "Never install a checker, write a check cache...") on a peripheral concern before the actual method, and many boundary sentences stack three or more clauses. Not 4: this is more than minor over-explanation; not 2: the rest of the body is on-task and rule-dense rather than padded.

3 / 5

Actionability

The 9-step Core Workflow gives concrete directives ("Classify each decision as model-owned semantic work, host-owned deterministic work, or a hybrid bounded-enum/key decision"), the "Read by Design Question" section maps questions to specific reference files, and the Completion Gate is an explicit pre-implementation checklist. Not 5: there is no worked example (e.g., a sample owner/node/edge ledger excerpt) to make the required contracts concrete; some steps like "Design evidence, canonical identity joins, lifecycle, convergence, pressure, and observation" defer entirely to references.

4 / 5

Workflow Clarity

Clear 9-step sequence with explicit validation: the ordered diagnostic gates ("execution reachability, execution logic, actual model input, bounded Prompt experiments, then an authorized stronger-model comparison if tuning fails") form a feedback loop, the Completion Gate is a checklist ("confirm that every invariant has one owner, every request boundary has a reason..."), and revision handling is specified ("revisit only affected responsibilities/handoffs after revision"). Not 4: checkpoints are explicit, not merely present.

5 / 5

Progressive Disclosure

Clear overview with well-signaled one-level-deep references: the "Read by Design Question" section maps each design question to a specific file in references/ (all 7 verified to exist, including the linked anchor "Ordered Diagnosis Before Model Tuning"), and heavy detail (e.g., 31 KB model-request-topology.md) is correctly kept out of SKILL.md. Not 4: navigation is by-question rather than by generic "see advanced", and routing to mechanism-owning skills is tabular. The sibling-skill cross-references (../agently-collaboration/...) fall outside this bundle but are consistent with the package layout the description declares.

5 / 5

Total

17

/

20

Passed

Description

92%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 dense but load-bearing description: it states concrete actions, enumerates the capability surface, gives explicit when-guidance including a negated-trigger clarification, and explicitly routes adjacent skills to avoid conflicts. Its only weakness is missing a few natural synonyms (agent, pipeline, debug) users might say.

DimensionReasoningScore

Specificity

Lists multiple concrete actions ("design, understand, tune, or audit") with comprehensive coverage of the work objects ("model-node responsibilities, input/output completeness, data-flow correctness or redundancy, model-versus-Host/workflow ownership, topology, evidence, lifecycle, concurrency, or observed execution effects") plus three project stages. Not 4: coverage of the domain's capability surface is exhaustive rather than having minor gaps.

5 / 5

Completeness

Explicitly answers both what ("design, understand, tune, or audit a non-trivial model workflow") and when ("Use to... including framework-undecided designs, partial implementations, and production reviews" plus the explicit trigger guidance "The user need not say Prompt review or name Agently"). Not 4: the when is concrete and explicit rather than weakly specified.

5 / 5

Trigger Term Quality

Good natural-term coverage for the domain ("model workflow", "audit", "production reviews", "data-flow", "topology", "tune"), and "The user need not say Prompt review or name Agently" explicitly broadens triggering. Not 5: common synonyms a user would actually say are missing — "agent", "LLM", "pipeline", "prompt design", "debug/troubleshoot".

4 / 5

Distinctiveness Conflict Risk

Clear niche (cross-owner model-workflow design/audit) with explicit conflict resolution: "Use agently-request for one request family and agently-triggerflow for already-decided executable orchestration details." Not 4: the overlap-prone sibling skills are named and disambiguated directly, minimizing wrong-skill triggering.

5 / 5

Total

19

/

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

relative_links

Relative link issues: 3 suspicious

Warning

Total

15

/

16

Passed

Repository

AgentEra/Agently-Skills

Path

skills/agently-agentic-design/SKILL.md

Reviewed

Table of Contents

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