research-and-planning

Perform structured research and turn findings into an implementation plan.

Quality

36%

Does it follow best practices?

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Securityby

Passed

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tessl review fix ./.agents/skills/research-and-planning/SKILL.md

Quality

Content

37%Weight 40%Scale 1-3

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is admirably concise and structurally well-formed, but it is too thin to be actionable: it gives no concrete workflow and its two references point to files that are not present in the bundle.

Suggestions

Add the missing referenced files (reference/research.md and reference/make-plan.md) or correct the paths so navigation resolves.

Include a brief, concrete step sequence in the body (e.g. clarify scope -> gather findings -> draft plan -> validate against requirements) so the skill is actionable even before the references are loaded.

Specify at least one validation checkpoint (e.g. confirm requirements are unambiguous before planning) to support this multi-step process.

Dimension	Reasoning	Score
Conciseness	The body is lean and free of padding or explanations of concepts Claude already knows; every line earns its place.	3 / 3
Actionability	It only describes intent ('clarify requirements and produce a plan') with no concrete steps, commands, or examples, and the referenced workflow files do not exist in the bundle.	1 / 3
Workflow Clarity	There is no sequenced multi-step workflow or validation checkpoints for an inherently multi-step research-then-plan process, and the referenced workflow files are missing.	1 / 3
Progressive Disclosure	The overview is concise with one-level-deep signaled references, but the referenced paths (reference/research.md, reference/make-plan.md) do not exist, so the navigation does not resolve.	2 / 3
	Total	7 / 12 Passed

Description

35%Weight 40%Scale 1-3

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 conveys a clear research-to-plan capability but lacks natural trigger terms and an explicit 'Use when...' clause, leaving it generic. It is competent but under-specified for reliable skill selection.

Suggestions

Add an explicit 'Use when...' clause with natural triggers a user would say, e.g. 'Use when the user asks to research a topic before coding or to turn findings into a plan'.

Replace abstract verbs with concrete actions, e.g. 'Investigate a problem, gather requirements, and produce a step-by-step implementation plan'.

Add distinguishing keywords (e.g. 'planning', 'implementation plan', 'requirement gathering') to reduce overlap with generic research skills.

Dimension	Reasoning	Score
Specificity	Names the research/plan domain and two actions ('structured research', 'turn findings into an implementation plan') but stays high-level rather than listing multiple concrete actions.	2 / 3
Completeness	It states what the skill does but provides no explicit 'when to use it' guidance, which per the guidelines caps completeness at 2.	2 / 3
Trigger Term Quality	There are no natural keywords a user would say and no 'Use when...' clause; phrasing like 'structured research' and 'implementation plan' reads as technical jargon rather than user-facing triggers.	1 / 3
Distinctiveness Conflict Risk	The research-to-plan framing has a recognizable niche but is generic enough to overlap with other planning/research skills, and lacks distinct triggers.	2 / 3
	Total	7 / 12 Passed

Validation

93%

Warnings & errors only

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

Criteria	Description	Result
relative_links	Relative link issues: 2 missing	Warning

	Total	15 / 16 Passed

Repository: pymc-labs/CausalPy
Path: .agents/skills/research-and-planning/SKILL.md
Commit: 7e23946

Reviewed: 13 days ago

Table of Contents

Discovery Implementation Validation

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