CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

business-analyst

Master modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic recommendations.

1.03x
Quality

46%

Does it follow best practices?

Impact

87%

1.03x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/business-analyst/SKILL.md

The canonical home for this skill is business-analyst in sickn33/agentic-awesome-skills

SKILL.md
Quality
Evals
Security

Quality

Content

17%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 a persona document, not an operational skill: it spends most of its length on a generic capabilities/traits/knowledge catalog that adds nothing Claude does not already know, gives abstract one-line instructions with no code, commands, examples, or validation steps, and points to a nonexistent 'resources/implementation-playbook.md' while providing no real bundle files. It needs a complete rewrite into concise, actionable guidance with concrete workflows and working references.

Suggestions

Replace the ~150 lines of Capabilities/Behavioral Traits/Knowledge Base catalog with concise actionable instructions — e.g. concrete procedures for defining KPI frameworks, building a churn model, or sizing a market, with example SQL/Python snippets or template outputs Claude can execute.

Create the missing 'resources/implementation-playbook.md' (or fix the path to an existing file) so the one reference in the body resolves; consider splitting detailed methodology per topic into one-level-deep reference files.

Turn the 'Instructions' and 'Response Approach' sections into a concrete sequenced workflow with validation checkpoints (e.g. 'define success metrics with the user before analysis; verify data quality before modeling; sanity-check model output against known benchmarks'), and replace the circular Use/Do-not-use bullets with real trigger and exclusion conditions.

DimensionReasoningScore

Conciseness

Roughly 150 of the 181 lines are padded catalog material — a 'Capabilities' section listing ~70 generic bullet points ('Computer vision for image and video analytics', 'Color theory and design principles for business audiences'), plus a 'Knowledge Base' section enumerating concepts Claude already knows ('Statistical analysis and machine learning techniques', 'Cloud analytics platforms and data warehousing'). This matches anchor 2 (noticeably verbose; several unnecessary explanations or padded sections) — not anchor 1 since it is list padding rather than prose explaining basic concepts, but far above the token budget a skill should occupy.

2 / 5

Actionability

There is no code, no commands, and no executable guidance anywhere. The Instructions section is entirely abstract ('Clarify goals, constraints, and required inputs. Apply relevant best practices and validate outcomes. Provide actionable steps and verification.') and the Response Approach steps are one-line abstractions ('Assess data availability and quality for analysis') with no method, tool, command, or example. This is precisely anchor 1: entirely vague or abstract; only describes rather than instructs.

1 / 5

Workflow Clarity

The 'Response Approach' section lists a rough 8-step sequence, but the steps are generic one-liners with many gaps — no methodology for any step, no validation checkpoints, and no feedback loops. The 'Use this skill when / Do not use this skill when' sections are circular boilerplate ('Working on business analyst tasks'). This matches anchor 2 (rough sequence present but many gaps; steps poorly defined; validation absent) better than anchor 3, whose steps are at least concretely actionable.

2 / 5

Progressive Disclosure

No bundle files exist (references/, scripts/, assets/ are absent), and the body's single pointer — 'If detailed examples are required, open `resources/implementation-playbook.md`' — references a file that does not exist, so the reference is dangling. The bulk of the content (the persona, capabilities, behavioral traits, and knowledge base) is inlined monolithic material that belongs in separate files or nowhere at all. This matches anchor 2 (minimal structure; content that clearly belongs in separate files is inlined; or references are buried) — the section headers give it slightly more structure than anchor 1, but the broken pointer prevents a higher score.

2 / 5

Total

7

/

20

Passed

Description

50%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 communicates a business-analyst capability set but leads with buzzword fluff and over-claims ('Master modern business analysis', 'AI-powered', 'data-driven insights'), lists only generically-phrased actions, and omits any 'Use when...' trigger guidance. Common natural trigger terms (business intelligence, BI, reporting, metrics, forecasting) are absent.

Suggestions

Add an explicit trigger clause, e.g. 'Use when the user needs business analysis, KPI/OKR framework design, dashboard or BI report building, churn/retention analysis, market sizing, or strategic recommendations.'

Replace buzzword phrasing ('Master modern business analysis with AI-powered analytics') with concrete named deliverables and tools, e.g. 'Build KPI and OKR frameworks, design Tableau/Power BI dashboards, run cohort and churn analyses, and size markets (TAM/SAM/SOM).'

Include the natural synonyms users actually say — 'business intelligence', 'BI', 'reporting', 'metrics', 'forecasting', 'stakeholder analysis' — to improve trigger matching and distinctiveness.

DimensionReasoningScore

Specificity

The description names the domain and lists 2-3 actions ('Build comprehensive KPI frameworks, predictive models, and strategic recommendations'), but the first sentence is buzzword-heavy fluff ('AI-powered analytics, real-time dashboards, and data-driven insights', 'Master modern business analysis') with over-claims and no concrete methods or tools. It fits anchor 3 (names domain and 1-2 concrete actions, not comprehensive) better than anchor 4, whose actions are specific and tool-named.

3 / 5

Completeness

The 'what' is reasonably stated (build KPI frameworks, predictive models, dashboards, strategic recommendations) but there is no 'Use when...' clause or equivalent trigger guidance anywhere — per the judging guidelines this caps completeness at 3. It is above anchor 2 because the 'what' is clear and multi-part, but below anchor 4 which requires an explicit 'when'.

3 / 5

Trigger Term Quality

Relevant keywords are present ('business analysis', 'dashboards', 'KPI frameworks', 'predictive models'), but common natural variations users would say are missing: 'business intelligence', 'BI', 'reporting', 'metrics', 'forecasting', 'stakeholder analysis'. This matches anchor 3 (some relevant keywords but missing common variations or synonyms) rather than anchor 4's 'good keyword coverage; a few natural terms missing'.

3 / 5

Distinctiveness Conflict Risk

'Business analysis' and 'KPI frameworks' give a business-analyst niche, but 'analytics', 'dashboards', 'predictive models', and 'data-driven insights' overlap heavily with data-science, BI, and dataviz skills, so it could still trigger the wrong skill. This is anchor 3 (somewhat specific but could still overlap with similar skills), not anchor 4's 'mostly distinct; minor overlap risk'.

3 / 5

Total

12

/

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

administrakt0r/AI-Agents-Safe-Coding-Skills

Path

plugins/AI-Agents-Safe-Coding-Skills-claude/skills/business-analyst/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.