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discovery-research-synthesis

Turning research artifacts into actionable PM insight. Customer interviews, user research notes, support ticket reviews, sales call transcripts, survey data, in-app feedback, all synthesized into the decisions they are meant to inform. The discipline of moving from raw discovery data to clear product direction without losing signal in the synthesis or fabricating insight that was not actually there. Triggers on research synthesis, customer interview synthesis, user research analysis, discovery readout, research insights, sales call analysis, support ticket analysis, qualitative data analysis. Also triggers when a team has done research but cannot turn it into decisions, when synthesis is producing pretty decks but no roadmap movement, or when an upcoming PM decision needs to be grounded in research already conducted.

Quality

85%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

The canonical home for this skill is discovery-research-synthesis in rampstackco/claude-skills

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 well-structured instruction skill with an explicit sequenced workflow, validation loop, checklist, and exemplary progressive disclosure across a verified 9-file bundle. The main costs are token redundancy from duplicated scope statements, double reference listings, and recap sections, plus a couple of judgment stages that stay at principle level.

Suggestions

Merge the intro's skill-differentiation paragraph with the 'What this skill is for' section and drop either the inline 'Detail in [...]' links or the 'Reference files' index so each reference is linked once, cutting roughly 20-30 lines of duplication.

Trim or remove the 'Closing' section, which restates the 12-consideration framework and the litmus questions already covered, and fold any non-redundant lines into the framework section.

For the clustering stage, add a short concrete procedure (e.g., how to compare two tags across artifacts and decide merge/split, with a one-line worked example) or point explicitly to the walkthrough's worked example so stage 3 is as operationally specific as the other stages.

DimensionReasoningScore

Conciseness

The body is mostly efficient domain judgment rather than generic explanation, but there is real redundancy: the skill-scope distinctions appear in both the intro paragraph 4 and the 'What this skill is for' section, every reference is linked inline at section end and again in the 'Reference files' section, and the closing section plus the 12-consideration framework recapitulate prior sections. This fits 'mostly efficient but could be tightened'; it is not a 2 because no section pads with concepts Claude already knows at length.

3 / 5

Actionability

Highly concrete for an instruction-only skill: specific batch sizes ('8-15 interviews per discovery cycle', '100-500 tickets', '15-30 calls'), quantitative targets ('80-150 tags', '4 named patterns... more than 12 is usually category bloat'), an output template ('4-12 pages', 'One section per pattern... pattern name, evidence summary (2-3 sentences...), implication, so-what'), and failure modes with cures. It falls short of fully executable because some judgment stages stay at principle level ('Cluster on the underlying observation: are these the same struggling moment...') without operational mechanics, and the worked example is deferred to a reference file.

4 / 5

Workflow Clarity

The six-stage synthesis sequence is explicitly numbered with per-stage definitions and skip-failure diagnostics ('Teams that skip tagging and jump to pattern naming hallucinate patterns'), backed by an explicit validation loop (participant review, adjacent-team review, the 'challenge the synthesis' session, 'Iterate before publishing') and a 12-point audit checklist. This matches the anchor with explicit validation steps, feedback loops, and a checklist for a complex process.

5 / 5

Progressive Disclosure

The body is an overview where each section defers detail to a well-signaled one-level-deep reference ('Detail in [references/synthesis-sequence-walkthrough.md]'), all 9 referenced files exist in the flat references/ directory with no nesting, and a final index lists each file with a one-line description. This matches the anchor for a clear overview with well-signaled, appropriately split, easy-to-navigate references.

5 / 5

Total

17

/

20

Passed

Description

86%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 with exceptional trigger coverage and fully explicit what/when guidance in third-person voice. The only meaningful weakness is that the capability is expressed as one transformation stated several ways rather than a list of distinct concrete actions.

DimensionReasoningScore

Specificity

The domain is named comprehensively ('Customer interviews, user research notes, support ticket reviews, sales call transcripts, survey data, in-app feedback') but the capability itself is a single macro-action restated three ways ('Turning research artifacts into actionable PM insight', 'synthesized into the decisions they are meant to inform', 'moving from raw discovery data to clear product direction') rather than several distinct concrete actions, matching the anchor for domain plus 1-2 concrete actions. It is not a 4 because no separate specific operations (e.g., tagging, clustering, deriving implications) are enumerated.

3 / 5

Completeness

Explicitly answers both what ('Turning research artifacts into actionable PM insight... synthesized into the decisions they are meant to inform') and when ('Triggers on research synthesis... Also triggers when a team has done research but cannot turn it into decisions') with concrete trigger phrases, exactly matching the top anchor. A 4 would require the 'when' to be less explicit, which it is not.

5 / 5

Trigger Term Quality

Eight explicit natural trigger phrases with synonym coverage ('research synthesis', 'user research analysis', 'qualitative data analysis', 'discovery readout', 'sales call analysis', 'support ticket analysis') plus three situational conditions ('a team has done research but cannot turn it into decisions', 'pretty decks but no roadmap movement'). This matches the comprehensive-synonyms anchor; a 4 would require missing natural terms, and none of the common phrasings a PM would use are absent.

5 / 5

Distinctiveness Conflict Risk

The niche (one-off discovery synthesis into product decisions) is clear and triggers are mostly distinct, but broad phrases like 'user research analysis' and 'qualitative data analysis' carry minor overlap risk with closely related research/feedback skills, and the description does not itself name sibling skills to disambiguate. This fits 'mostly distinct; minor overlap risk' rather than the minimal-conflict top anchor.

4 / 5

Total

17

/

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

rampstackco/claude-skills

Path

dist/codex/.agents/skills/discovery-research-synthesis/SKILL.md

Reviewed

Table of Contents

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