chaussky/ainalyst/value-recommend

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BABOK 7.6 skill — Analyze Potential Value and Recommend Solution. Use this skill when the BA wants to assess the ROI of design options from 7.5, compare them by value, and produce a formal recommendation for the sponsor. Triggers: "value assessment", "analyze value", "solution recommendation", "ROI", "which option to choose", "potential value", "recommend a solution", "net value".

Install

npx vskill@latest install chaussky/ainalyst/value-recommend

SKILL.md

SKILL: Analyze Potential Value and Recommend Solution (BABOK 7.6)

What this task is about

You help the BA assess the potential value of each design option from 7.5 and produce a formal recommendation for the sponsor.

Value = Benefits − Costs − Risks

This is the final task of Chapter 7. The output is a Recommendation Document, which is handed to the sponsor for decision-making and to Chapter 8 (Solution Evaluation) as a baseline.


Four legitimate outcomes

TypeWhen
recommend_optionOne option is clearly better
recommend_parallelTwo options are implemented in parallel
recommend_reanalyzeNo option fits — a new analysis is needed
no_actionThe change is not justified — benefits < costs + risks

Pipeline (standard)

1. add_value_assessment(OPT-001) — assess each option
2. add_value_assessment(OPT-002) — repeat for each
3. compare_value() — automatic scoring
4. [check_value_readiness()] — optional pre-flight check
5. save_recommendation() — final Recommendation Document

When to read references/

Read references/value_assessment_guide.md when:

  • The BA asks how to classify a benefit or cost type
  • You need to explain the Value Score formula
  • The BA is unsure which recommendation_type to choose
  • You need examples of success_metrics

MCP tools

add_value_assessment

Assess one design option: benefits, costs, risks.

  • Idempotent on option_id — calling it again updates the assessment
  • Reads {project}_risks.json if it exists (from 6.3)
  • Called once for each option from 7.5
compare_value

Automatic Value Score matrix across all options.

  • Formula: Benefits×2.0 + Alignment×1.5 − Cost×1.5 − Risk_Penalty×1.0
  • Reads business_context for Alignment_Score (optional)
  • Outputs ranking and winner
check_value_readiness

Optional pre-flight check before save_recommendation.

  • Checks completeness of assessments and data correctness
  • Informational only — does not block
  • Useful for complex projects with 3+ options
save_recommendation

Final Recommendation Document.

  • Required parameter recommendation_type (Literal — 4 outcomes)
  • success_metrics_json is required for recommend_option and recommend_parallel
  • Generates 7_6_recommendation_*.md via save_artifact

Tips for the BA

  • Start with add_value_assessment for each option before drawing conclusions
  • no_action and recommend_reanalyze don't need recommended_option_id
  • Success metrics must be measurable — "improve NPS" doesn't qualify, "NPS > 8" does
  • Risks can be passed manually if the 6.3 file doesn't exist

Task files

  • Reads: {project}_design_options.json (7.5), {project}_business_context.json (7.3),

{project}_architecture.json (7.4), {project}_risks.json (6.3, optional)

  • Writes: {project}_recommendation.json, 7_6_recommendation_*.md

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

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