CtrlK
BlogDocsLog inGet started
Tessl Logo

meeting-analyzer

Analyzes meeting transcripts and recordings to surface behavioral patterns, communication anti-patterns, and actionable coaching feedback. Use this skill whenever the user uploads or points to meeting transcripts (.txt, .md, .vtt, .srt, .docx), asks about their communication habits, wants feedback on how they run meetings, requests speaking ratio analysis, mentions filler words or conflict avoidance, or wants to compare their communication across time periods. Also trigger when users mention tools like Granola, Otter, Fireflies, or Zoom transcripts. Even if the user just says "look at my meetings" or "how do I come across in meetings" — use this skill.

68

Quality

83%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

The risk profile of this skill

SKILL.md
Quality
Evals
Security

Quality

Content

75%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, actionable analysis skill with a clear sequenced workflow, specific thresholds, and concrete output template. Main gaps are the absence of executable code for detection logic, no final validation feedback loop, and a monolithic structure with no reference files for a 250-line doc.

Suggestions

Add executable helpers (e.g., a script in ./scripts/ or inline Python) for the mechanical detections — speaking-ratio and turn computation, filler-word counting, and interruption detection — so the guidance is copy-paste runnable rather than described.

Split the per-module analysis specs and the report skeleton into one-level-deep reference files (e.g., references/modules.md, references/report-template.md) to apply progressive disclosure and slim the main SKILL.md overview.

Add an explicit post-analysis validation step (e.g., verify flagged quotes exist in the source transcript and that metrics reconcile against the normalized speaker turns) before emitting the report, giving the workflow a validate->fix->retry feedback loop.

DimensionReasoningScore

Conciseness

Mostly efficient and assumes Claude's competence, using specific thresholds (>60%, <15%, >3 per 100 words, 2:1) rather than vague guidance; minor trimmable bits like the contributor attribution and conditional source-tips section keep it just below lean.

4 / 5

Actionability

Highly actionable guidance with a concrete internal data structure, enumerated filler-word and hedging dictionaries, a question-type taxonomy with examples, and a copy-paste report skeleton; stays at 4 rather than 5 because detection logic is described rather than provided as executable code.

4 / 5

Workflow Clarity

Clear five-step sequence (Ingest, Normalize, Analyze, Output, Follow-Up) with an explicit scope-confirmation checkpoint and graceful-degradation edge cases; read-only analysis with verification present, so the batch-validation cap does not bind, though no post-analysis validation feedback loop exists.

4 / 5

Progressive Disclosure

No bundle files exist and the skill is a self-contained ~250-line document; section organization is good (clear workflow, delineated modules, edge cases, anti-patterns table) but it remains monolithic with no reference split, so it does not reach the one-level-deep reference structure of a 5.

4 / 5

Total

16

/

20

Passed

Description

91%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, well-constructed description that clearly states capability and provides rich, natural trigger terms with file extensions and tool names. Actions are specific but slightly abstract rather than fully concrete operations.

DimensionReasoningScore

Specificity

Lists several specific actions ("surface behavioral patterns, communication anti-patterns, and actionable coaching feedback", speaking ratio, filler words, conflict avoidance), but the verbs are somewhat abstract compared to concrete file operations, so it sits just below comprehensive.

4 / 5

Completeness

Explicitly answers both what ("Analyzes meeting transcripts and recordings to surface...") and when ("Use this skill whenever the user uploads or points to meeting transcripts..." plus "Also trigger when users mention tools..."), with concrete trigger phrases.

5 / 5

Trigger Term Quality

Comprehensive natural-term coverage including file extensions (.txt, .md, .vtt, .srt, .docx), synonyms, tool names (Granola, Otter, Fireflies, Zoom), and colloquial phrases like "look at my meetings" and "how do I come across in meetings".

5 / 5

Distinctiveness Conflict Risk

Transcript-centric niche with distinct hard triggers (file formats, speaking ratios, filler words); only minor overlap risk with the sibling executive-mentor communication-coaching skill acknowledged in Related Skills.

4 / 5

Total

18

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
alirezarezvani/claude-skills
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.