CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

research

Structure a research based on the user request. Identify what must change in order to complete the task.

Quality

60%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./.cursor/skills/research/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

53%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 lean and appropriately self-contained for a short skill, but its guidance is mostly abstract direction rather than executable instruction — no commands, code, or output template are provided. The workflow is inferable but not explicitly sequenced or validated.

Suggestions

Make the workflow an explicit numbered sequence (analyze request -> inspect related Python files -> prototype in temp scripts -> record findings -> clean up) with a validation checkpoint before writing the final research file.

Add concrete artifacts: an example temporary-test snippet and a short template showing the expected structure of the research .md file under .cursor/plans/{plan_name}/research.md.

Remove the duplicated first sentence and fix the 'Document base' heading to accurately describe the output-location section.

DimensionReasoningScore

Conciseness

The body is short and directive with no explanations of concepts Claude already knows. It is not a 5 because the opening sentence duplicates the frontmatter description verbatim and several phrases ('Make reasonable technical decisions based on research', 'Use the python files with objective') could be tightened.

4 / 5

Actionability

Most guidance is high-level direction ('Check python files related to the request', 'Identify what should be change', 'Document assumptions') with only one concrete artifact path (.cursor/plans/{plan_name_folder}/research as .md). There are no executable commands, code examples, or a template for the research file, leaving the specific steps to execute largely missing.

2 / 5

Workflow Clarity

A rough sequence is discernible (analyze request -> prototype in temporary Python files -> decide from output -> document under .cursor/plans -> delete temp files), which goes beyond the bare 2-anchor list. However steps are unordered bullets, checkpoints are implicit ('based on the output decide what should be done'), and there is no verification of the final research document.

3 / 5

Progressive Disclosure

The skill is under 50 lines, self-contained, and correctly collapses everything into one research file with no external references needed, satisfying the simple-skill exception. It is not a 5 because section organization is uneven — the oddly indented 'No user interaction required' block and the mislabeled 'Document base' heading create minor navigation gaps.

4 / 5

Total

13

/

20

Passed

Description

46%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 states a recognizable intent but is generic: it lacks any 'when to use' trigger guidance, uses abstract action language, and overlaps broadly with other research/planning skills. It reads more like an internal instruction than a skill description that a user or model could reliably match to a need.

Suggestions

Add an explicit trigger clause, e.g. 'Use when the user asks to investigate or plan changes to a codebase before implementing them.'

Replace abstract phrasing with concrete capabilities, e.g. 'Analyzes the relevant Python files, prototypes logic in temporary scripts, and writes a findings document under .cursor/plans/'.

Sharpen distinctiveness by scoping to pre-implementation codebase research so it does not collide with general research or planning skills.

DimensionReasoningScore

Specificity

The description names the domain ('research') and 1-2 actions ('Structure a research', 'Identify what must change'), but both remain abstract rather than concrete operations. It is not the 'several specific actions' of level 4, yet clearly above the pure vagueness of levels 1-2.

3 / 5

Completeness

A 'what' is present (structure research, identify what must change) but there is no 'when' — no 'Use when...' clause or equivalent trigger guidance, which caps completeness at 3 per the judging guidelines. The 'what' itself is only moderately clear, so it does not reach 4.

3 / 5

Trigger Term Quality

'research' and 'user request' are relevant keywords a user might say, but there is no coverage of natural variations or synonyms such as 'investigate', 'analyze', 'plan', or 'codebase exploration'. This matches the 'some relevant keywords but missing common variations' anchor.

3 / 5

Distinctiveness Conflict Risk

'Structure a research based on the user request' is very broad and would overlap heavily with general research, planning, and analysis skills. It is slightly more scoped than 'helps with documents' (not 1) but carries high overlap risk with many similar skills.

2 / 5

Total

11

/

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

pymc-labs/pymc-marketing

Path

.cursor/skills/research/SKILL.md

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.