Use when the engine's research must be turned into consulting-grade problem solving: issue trees, hypothesis-led workplans, analysis plans, stakeholder management, implementation logic, and transformation framing. Encodes consulting craft without relaxing evidence discipline.
Use when research must become consulting-grade diagnosis, recommendation, workplan, or transformation framing.
Use when the deliverable needs issue trees, hypotheses, quantified options, or implementation logic.
Do Not Use When
The task is purely academic writing or pure source collection with no client decision attached.
The work only needs prose polish rather than consulting problem-structuring.
Consulting Intake Guidance
Client or decision-owner question.
Time horizon and constraints.
Expected deliverable and implementation ambition.
Consulting Method Detail
Read this SKILL.md first, then load only the relevant reference file for the current phase.
Structure the problem before expanding the workplan.
Tie analyses and recommendations back to the client decision throughout.
Quality Standards
Decision owner and question are explicit.
Issue tree and hypotheses are visible.
Recommendation includes value, risk, and implementation implications.
Consulting Failure Notes
Workstreams with no governing client question.
Recommendations with no owner or sequence.
Treating stakeholder politics as outside the analysis.
Consulting Deliverable Detail
A consulting-grade problem frame, workplan, recommendation structure, or implementation path.
References
Use the references/ files for problem framing, workplans, stakeholders, and transformation logic.
This skill turns a research corpus into a consulting-grade decision process. It is about how to structure the problem, sequence the analysis, manage the client interface, and carry recommendations into implementation.
Consulting output must be more than polished slides. Run critical-reasoning-and-argument before finalizing issue trees, hypotheses, options, recommendations, value cases, risks, or implementation logic.
When to use
Strategy, market-entry, growth, transformation, or operating-model work
Client-facing diagnostics or recommendations
Internal decision memos that must survive executive scrutiny
Research that must lead to quantified choices, implementation options, or a value case
Five rules
Start from the client decision. The problem statement must name the decision, owner, and time horizon.
Structure before analysis. Use issue trees, hypotheses, and workplans before gathering endless facts.
Quantify the value and the risk. A recommendation without upside, downside, and assumptions is unfinished.
Manage stakeholders explicitly. Good analysis fails when the buyer, blocker, and user were treated as the same person.
Implementation begins in the diagnosis. Recommendations must name who does what, in what sequence, and what proves progress.
Reason before recommendation. Every recommendation must pass critical-reasoning-and-argument: argument map, strongest objection, alternatives, evidence sufficiency, and implementation constraints.
Router
Situation
Load
Framing the problem and hypothesis tree
references/problem-framing-and-issue-trees.md
Designing the analyses and workplan
references/consulting-workplan-and-analysis.md
Managing client, team, and stakeholders
references/client-and-stakeholder-management.md
Transformation / implementation / agile delivery
references/implementation-and-transformation.md
Core workflow
Define the governing client question.
Break it into an issue tree and draft initial hypotheses.
Design the analysis plan: what must be true, what data proves it, what would falsify it.
Sequence the work into a workplan with owners and decision points.
Translate findings into options, value case, risks, and implementation path.
Ship gate
Decision owner, question, and time horizon named
Issue tree or equivalent decomposition exists
Critical-reasoning gate passed for hypotheses, options, recommendations, risks, and implementation implications
Hypotheses are testable, not slogans
Analyses are tied to decisions, not curiosity
Stakeholders mapped beyond the formal sponsor
Recommendation includes assumptions, risks, and implementation path
Metrics or KPIs identified for tracking progress
Consulting Source Pitfalls
Research with no client decision attached
Workstream explosion because the problem was never decomposed
Elegant recommendation with no owner or sequencing
Treating stakeholder politics as outside the scope of strategy
Analysis and planning default to read-only. Client commitments, messages, implementation changes, procurement, spending, or publication require explicit authority.
Consulting Fallback Notes
Without client access or implementation data, return a hypothesis-led workplan with assumptions and untested branches, not a transformation claim.
Decision Rules
Choice
Action
Failure/risk avoided
Problem is ambiguous
Build and test an issue tree
Solution jumping
Evidence disproves a hypothesis
Close or revise the branch
Confirmation bias
Recommendation lacks owner or dependency
Hold it
Non-executable advice
Consulting Scenario
A cost problem is decomposed into testable drivers before interviews or recommendations are scheduled.
Companion skills
research-orchestration — drives the research waves
critical-reasoning-and-argument — validates hypotheses, issue trees, options, recommendations, value cases, and implementation logic
analytic-tradecraft — for uncertainty, alternatives, and confidence
executive-communication — for answer-first client delivery
report-and-proposal-craft — for the long-form report or proposal shell
data-visualization — for charts, tables, and KPI trees
Sources for this skill
Rasiel, Ethan M., and Friga, Paul N. The McKinsey Mind. Tier 1.
Burtonshaw-Gunn, Simon. Essential Tools for Management Consulting. Tier 1.
Inside the Minds: Leading Consultants. Tier 1.
Hattori, Shu. The McKinsey Edge. Tier 1.
Rewired: The McKinsey Guide to Outcompeting in the Age of Digital and AI. Tier 1.
Workflow
Define the client decision, stakeholders, constraints, and measurable outcome.
Build an issue tree and convert branches into testable hypotheses.
Stop when a recommendation lacks evidence, ownership, dependencies, or feasibility.
Recover by returning to the failed branch, recording the gap, and revising the workplan.
Translate supported findings into actions, owners, risks, and decisions.
Outputs
Artefact
Consumer
Acceptance condition
Issue tree, workplan, and recommendation
Client decision-maker and delivery lead
Each recommendation traces to evidence, an owner, dependency, risk, and next decision
Evidence Produced
Evidence
Consumer
Acceptance condition
Hypothesis log and recommendation trace
Reviewer and client sponsor
Closed, revised, and open branches are distinguishable and evidence-linked
Degraded Mode
Without client access or implementation data, return a qualified workplan, preserve unassessed branches, and do not claim transformation feasibility.
Anti-Patterns
Jumping to a solution. Fix: frame the decision and issue tree first.
Keeping a disproved hypothesis. Fix: close or revise the branch.
Producing ownerless recommendations. Fix: assign an accountable role.
Hiding evidence gaps. Fix: expose them in the trace.
Promising implementation without context. Fix: mark feasibility unassessed.
Worked Example
A cost problem is decomposed into testable drivers, and only branches supported by verified analysis proceed to implementation recommendations.
1---2name: consulting-delivery3description: Use when the engine's research must be turned into consulting-grade problem solving: issue trees, hypothesis-led workplans, analysis plans, stakeholder management, implementation logic, and transformation framing. Encodes consulting craft without relaxing evidence discipline.4---56# Consulting Delivery78<!-- dual-compat-start -->9## Use When1011- Use when research must become consulting-grade diagnosis, recommendation, workplan, or transformation framing.12- Use when the deliverable needs issue trees, hypotheses, quantified options, or implementation logic.1314## Do Not Use When1516- The task is purely academic writing or pure source collection with no client decision attached.17- The work only needs prose polish rather than consulting problem-structuring.1819## Consulting Intake Guidance2021- Client or decision-owner question.22- Time horizon and constraints.23- Expected deliverable and implementation ambition.2425## Consulting Method Detail2627- Read this `SKILL.md` first, then load only the relevant reference file for the current phase.28- Structure the problem before expanding the workplan.29- Tie analyses and recommendations back to the client decision throughout.3031## Quality Standards3233- Decision owner and question are explicit.34- Issue tree and hypotheses are visible.35- Recommendation includes value, risk, and implementation implications.3637## Consulting Failure Notes3839- Workstreams with no governing client question.40- Recommendations with no owner or sequence.41- Treating stakeholder politics as outside the analysis.4243## Consulting Deliverable Detail4445- A consulting-grade problem frame, workplan, recommendation structure, or implementation path.4647## References4849- Use the `references/` files for problem framing, workplans, stakeholders, and transformation logic.50<!-- dual-compat-end -->5152This skill turns a research corpus into a consulting-grade decision process. It is about how to structure the problem, sequence the analysis, manage the client interface, and carry recommendations into implementation.5354Consulting output must be more than polished slides. Run `critical-reasoning-and-argument` before finalizing issue trees, hypotheses, options, recommendations, value cases, risks, or implementation logic.5556## When to use5758- Strategy, market-entry, growth, transformation, or operating-model work59- Client-facing diagnostics or recommendations60- Internal decision memos that must survive executive scrutiny61- Research that must lead to quantified choices, implementation options, or a value case6263## Five rules64651. **Start from the client decision.** The problem statement must name the decision, owner, and time horizon.662. **Structure before analysis.** Use issue trees, hypotheses, and workplans before gathering endless facts.673. **Quantify the value and the risk.** A recommendation without upside, downside, and assumptions is unfinished.684. **Manage stakeholders explicitly.** Good analysis fails when the buyer, blocker, and user were treated as the same person.695. **Implementation begins in the diagnosis.** Recommendations must name who does what, in what sequence, and what proves progress.706. **Reason before recommendation.** Every recommendation must pass `critical-reasoning-and-argument`: argument map, strongest objection, alternatives, evidence sufficiency, and implementation constraints.7172## Router7374| Situation | Load |75|---|---|76| Framing the problem and hypothesis tree | `references/problem-framing-and-issue-trees.md` |77| Designing the analyses and workplan | `references/consulting-workplan-and-analysis.md` |78| Managing client, team, and stakeholders | `references/client-and-stakeholder-management.md` |79| Transformation / implementation / agile delivery | `references/implementation-and-transformation.md` |8081## Core workflow82831. Define the governing client question.842. Break it into an issue tree and draft initial hypotheses.853. Design the analysis plan: what must be true, what data proves it, what would falsify it.864. Sequence the work into a workplan with owners and decision points.875. Translate findings into options, value case, risks, and implementation path.8889## Ship gate9091- [ ] Decision owner, question, and time horizon named92- [ ] Issue tree or equivalent decomposition exists93- [ ] Critical-reasoning gate passed for hypotheses, options, recommendations, risks, and implementation implications94- [ ] Hypotheses are testable, not slogans95- [ ] Analyses are tied to decisions, not curiosity96- [ ] Stakeholders mapped beyond the formal sponsor97- [ ] Recommendation includes assumptions, risks, and implementation path98- [ ] Metrics or KPIs identified for tracking progress99100## Consulting Source Pitfalls101102- Research with no client decision attached103- Workstream explosion because the problem was never decomposed104- Elegant recommendation with no owner or sequencing105- Treating stakeholder politics as outside the scope of strategy106- Confusing slide polish with problem solving107108## Companion skills109110## Inputs111112| Input | Source/provider | If absent |113|---|---|---|114| Client question, decision, stakeholders, constraints | Engagement brief | Stop framing and request the decision |115| Verified evidence and implementation context | Research corpus and client | Mark assumptions and evidence gaps |116117## Capability Contract118119Analysis and planning default to read-only. Client commitments, messages, implementation changes, procurement, spending, or publication require explicit authority.120121## Consulting Fallback Notes122123Without client access or implementation data, return a hypothesis-led workplan with assumptions and untested branches, not a transformation claim.124125## Decision Rules126127| Choice | Action | Failure/risk avoided |128|---|---|---|129| Problem is ambiguous | Build and test an issue tree | Solution jumping |130| Evidence disproves a hypothesis | Close or revise the branch | Confirmation bias |131| Recommendation lacks owner or dependency | Hold it | Non-executable advice |132133## Consulting Scenario134135A cost problem is decomposed into testable drivers before interviews or recommendations are scheduled.136137## Companion skills138139- `research-orchestration` — drives the research waves140- `critical-reasoning-and-argument` — validates hypotheses, issue trees, options, recommendations, value cases, and implementation logic141- `analytic-tradecraft` — for uncertainty, alternatives, and confidence142- `executive-communication` — for answer-first client delivery143- `report-and-proposal-craft` — for the long-form report or proposal shell144- `data-visualization` — for charts, tables, and KPI trees145146## Sources for this skill147148- Rasiel, Ethan M., and Friga, Paul N. *The McKinsey Mind*. Tier 1.149- Burtonshaw-Gunn, Simon. *Essential Tools for Management Consulting*. Tier 1.150- *Inside the Minds: Leading Consultants*. Tier 1.151- Hattori, Shu. *The McKinsey Edge*. Tier 1.152- *Rewired: The McKinsey Guide to Outcompeting in the Age of Digital and AI*. Tier 1.153154## Workflow1551561. Define the client decision, stakeholders, constraints, and measurable outcome.1572. Build an issue tree and convert branches into testable hypotheses.1583. Stop when a recommendation lacks evidence, ownership, dependencies, or feasibility.1594. Recover by returning to the failed branch, recording the gap, and revising the workplan.1605. Translate supported findings into actions, owners, risks, and decisions.161162## Outputs163164| Artefact | Consumer | Acceptance condition |165|---|---|---|166| Issue tree, workplan, and recommendation | Client decision-maker and delivery lead | Each recommendation traces to evidence, an owner, dependency, risk, and next decision |167168## Evidence Produced169170| Evidence | Consumer | Acceptance condition |171|---|---|---|172| Hypothesis log and recommendation trace | Reviewer and client sponsor | Closed, revised, and open branches are distinguishable and evidence-linked |173174## Degraded Mode175176Without client access or implementation data, return a qualified workplan, preserve unassessed branches, and do not claim transformation feasibility.177178## Anti-Patterns179180- Jumping to a solution. **Fix:** frame the decision and issue tree first.181- Keeping a disproved hypothesis. **Fix:** close or revise the branch.182- Producing ownerless recommendations. **Fix:** assign an accountable role.183- Hiding evidence gaps. **Fix:** expose them in the trace.184- Promising implementation without context. **Fix:** mark feasibility unassessed.185186## Worked Example187188A cost problem is decomposed into testable drivers, and only branches supported by verified analysis proceed to implementation recommendations.
Run npx skillmds@latest add peterbamuhigire/consulting-delivery in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.
Use when the engine's research must be turned into consulting-grade problem solving: issue trees, hypothesis-led workplans, analysis plans, stakeholder management, implementation logic, and transformation framing. Encodes consulting craft without relaxing evidence discipline. It is listed under Product & Planning on SkillMD.
This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.
This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.
Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.
peterbamuhigire (@peterbamuhigire) published this skill. Their other Agent Skills are listed on their SkillMD profile.