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sizing

Pre-cycle Feature sizing workflow that assesses Features from Jira using T-shirt sizes (XS–XXL), produces per-team effort breakdowns (DEV, QE, UX, UI, DOCS), and writes results back to Jira. Accepts a single Feature or all Features in a Fix Version for batch sizing. Use when sizing Features for cycle planning, prioritizing a release backlog, or evaluating whether a Feature fits in a cycle. Activated by commands: /ingest, /assess, /apply.

Quality

82%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

The canonical home for this skill is sizing in flightctl/ai-workflows

SKILL.md
Quality
Evals
Security

Quality

Content

65%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 exemplary lean orchestrator overview — concise, third-person routing with an explicit stop-on-failure policy — but the bundle does not back its references: commands/, skills/controller.md, and guidelines.md are missing, leaving only scripts/ present, and no script invocation details or pre-write-back validation checkpoints are stated in the body itself.

Suggestions

Ship the referenced files (commands/*.md, skills/controller.md, guidelines.md) in the skill bundle — or inline minimal equivalents — so the Quick Start's routing targets actually resolve; currently only scripts/ exists.

Add a brief phase map (e.g., ingest → assess → apply) with explicit validation checkpoints, in particular a validate-before-write-back-to-Jira step, since the workflow performs batch operations against an external system.

Include one-line invocation examples for the scripts/ helpers (e.g., how prepare_context.py is called and its 0/1/2 exit-code contract, which is already documented in the script docstrings) so the helpers are usable from SKILL.md alone.

DimensionReasoningScore

Conciseness

The 14-line body is lean and every sentence does work: two routing steps ('read `commands/{command}.md` and follow it', 'read `skills/controller.md`'), a compact failure policy, and one-sentence pointers to guidelines and the scripts helpers. There is no explanation of concepts Claude already knows and no padding, matching the 'every token earns its place' anchor rather than the level below with 'minor instances of over-explanation'.

5 / 5

Actionability

The routing instructions are concrete ('read `commands/{command}.md`', 'read `skills/controller.md`') and the failure policy is explicit, but key execution details are missing: the scripts paragraph ('The `scripts/` helpers compact source data, validate AI judgments...') gives no invocation syntax for any of the six bundled scripts, and 'route it through the phase dispatcher' is abstract. This matches 'some concrete guidance but incomplete; missing key details' rather than the level above, where gaps would be minor.

3 / 5

Workflow Clarity

A rough sequence exists (command dispatch, else controller routing) and a generic feedback loop is stated ('If a step fails or produces unexpected output... stop and report the error... Do not advance to the next phase. Offer to retry... or escalate'). However, this skill orchestrates batch operations (batch sizing all Features in a Fix Version) and writes results back to Jira, yet the actual phase sequence (ingest → assess → apply) is only implied by command names, and no explicit validation checkpoint before writing back to Jira appears in the body — the files that would contain the phase workflow are absent from the bundle. Per the batch-operation feedback-loop cap, this cannot exceed 3.

3 / 5

Progressive Disclosure

The SKILL.md itself is well structured as a lean dispatcher with clearly signaled one-level-deep references ('For principles, hard limits, safety, quality, and escalation rules, see `guidelines.md`'), and the `scripts/` directory genuinely contains the six helpers described. But scored against the actual bundle, the primary referenced paths — `commands/{command}.md`, `skills/controller.md`, and `guidelines.md` — do not exist in the bundle, so navigation dead-ends at the main routing targets. That is more than the 'minor organization gaps' of the level above, while the clear signaling and real scripts/ content keep it above the level below.

3 / 5

Total

14

/

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 strong description: it is written in third person, concretely states what the skill does (assess, break down by team, write back to Jira, single or batch), and gives an explicit 'Use when...' clause with natural trigger phrases. The only weakness is modest synonym coverage in trigger terms.

DimensionReasoningScore

Specificity

The description lists multiple concrete actions covering the full workflow end-to-end: 'assesses Features from Jira using T-shirt sizes (XS–XXL)', 'produces per-team effort breakdowns (DEV, QE, UX, UI, DOCS)', 'writes results back to Jira', and 'Accepts a single Feature or all Features in a Fix Version for batch sizing'. This matches the anchor for multiple specific concrete actions with comprehensive coverage; it is not the level below because there are no minor gaps — input, method, output, and write-back are all named.

5 / 5

Completeness

Both questions are answered explicitly: the 'what' ('assesses Features from Jira using T-shirt sizes... writes results back to Jira') and the 'when' ('Use when sizing Features for cycle planning, prioritizing a release backlog, or evaluating whether a Feature fits in a cycle'), with concrete trigger phrases and activation commands (/ingest, /assess, /apply). This clearly matches the top anchor rather than the level below, where the 'when' would be less specific.

5 / 5

Trigger Term Quality

Natural phrases users would say are well covered: 'sizing Features', 'cycle planning', 'prioritizing a release backlog', 'evaluating whether a Feature fits in a cycle', plus domain terms 'Fix Version' and 'Jira'. It falls short of the top anchor because common synonyms such as 'estimate/estimation', 'story points', or 'sprint planning' are absent, leaving a few natural terms missing.

4 / 5

Distinctiveness Conflict Risk

The description occupies a clear niche — Jira Feature sizing with T-shirt sizes, per-team effort breakdowns, and specific activation commands — so it is unlikely to trigger for the wrong skill. It matches the 'clear niche with distinct triggers; minimal conflict risk' anchor rather than the level below, which would require overlap risk with closely related skills.

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

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository

amir-yogev-gh/ai-workflows

Path

sizing/SKILL.md

Reviewed

Table of Contents

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