HomeSkillsAgents for StrategyAndrew PershJuly 16, 20269 min read

67 Autonomous Strategy Agents for Claude, End to End

Not prompts. 67 autonomous strategy agents for Claude that map market signals, size opportunities, design operating models, and brief the board, so strategy work stops living in decks and starts running itself.

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What these strategy agents are

A full strategy function, agentized. These are 67 autonomous strategy agents for Claude, not one-off prompts. Together they run an entire strategy department end to end: they read the outside world, turn ambition into goals, find who to serve, size where to bet, build the path to market, pressure-test where value sits, design the operating model, prepare for what is next, and close the loop from decision to delivery.

Each agent is a small, uploadable workflow that teaches Claude to perform one high-value strategy task with a repeatable, named method. Run one on its own, run a group for a phase, or chain the full set so the work flows from market signal to boardroom without living in a pile of decks. They pair naturally with our 21 strategy skills for Claude and the 10 Claude skills for strategy professionals.

Mechanically, each agent is one folder with a SKILL.md file, grouped by function inside the zip. Install just the ones you need, or load the full set into a Claude Project.

Download all 67 agents

One zip, one folder per agent. Free, no signup.

Download the zip

The 67 Strategy Agents You Get

The set is grouped into nine functions. They run in the order a real strategy department does, sense the market first, govern delivery last, but every agent is also useful on its own.

1

Group 1 · 6 agents

Market Intelligence Agents

Read the outside world before recommending anything. These agents build the fact base: signals, trends, rivals, and the options the market actually leaves open.

1.1

Market Sensing

Use when: You need an early read on shifts before they hit the numbers

Output: PESTEL scan with weak signals and so-what implications

1.2

Trend Radar

Use when: Too many trends compete for leadership attention

Output: Trend radar ranked by impact and certainty across three horizons

1.3

Competitor Scan

Use when: You need a structured read on who you are up against

Output: Competitor profiles and a likely-moves map

1.4

SWOT Builder

Use when: The team needs one honest internal-external picture

Output: Evidenced SWOT plus TOWS action pairings

1.5

Scenario Planning

Use when: The future is uncertain and one forecast is not enough

Output: Four named scenarios on a two-axis matrix with signposts

1.6

Growth Options

Use when: Leadership is debating where growth should come from

Output: Growth options mapped across products and markets

2

Group 2 · 5 agents

Vision and Goals Agents

Turn ambition into a structure the whole organization can execute against: the few priorities that matter, a clear vision, and goals that cascade into measurable targets.

2.1

Strategic Priorities

Use when: Everything feels important and nothing gets finished

Output: A short list of must-win priorities with rationale

2.2

Vision Drafting

Use when: The organization needs a destination worth committing to

Output: A vision statement with a long-horizon ambition

2.3

Mission Alignment

Use when: Purpose and day-to-day work have drifted apart

Output: A mission articulation linking why, how, and what

2.4

Goal Cascade

Use when: Top goals are not connecting to team objectives

Output: A cascaded objective tree from company to team

2.5

KPI Design

Use when: Metrics are noisy, lagging, or gamed

Output: A KPI tree of leading and lagging measures tied to decisions

3

Group 3 · 6 agents

Customer and Offer Agents

Find who to serve, what they actually need, and what to charge. These agents ground strategy in real demand instead of internal assumptions.

3.1

Value Proposition

Use when: The offer does not clearly connect to what customers value

Output: A value proposition mapped to gains, pains, and jobs

3.2

Customer Segment

Use when: One-size messaging is failing across different buyers

Output: Needs-based segments with priorities and fit

3.3

Persona Mapping

Use when: Teams design for an average user who does not exist

Output: Decision-oriented personas with goals and blockers

3.4

Need Discovery

Use when: You suspect you are solving the wrong problem

Output: A prioritized need map with underlying drivers

3.5

JTBD

Use when: You want the job the customer hires the product to do

Output: Job statements with desired outcomes and constraints

3.6

Pricing Strategy

Use when: Pricing power, discounting, or packaging is unclear

Output: A pricing recommendation with value and willingness-to-pay logic

4

Group 4 · 6 agents

Portfolio and Innovation Agents

Decide where to place bets and how big. These agents size the prize, shape the roadmap, and separate the bets worth funding from the ones that only look exciting.

4.1

Portfolio Strategy

Use when: Resources are spread thin across too many bets

Output: A portfolio view by attractiveness and strength with allocation calls

4.2

Product Roadmap

Use when: The roadmap is a wish list without sequence

Output: A now-next-later roadmap tied to strategic themes

4.3

Innovation Thesis

Use when: Innovation spend lacks a clear where-to-play logic

Output: An innovation thesis with focus areas and no-go zones

4.4

Opportunity Sizing

Use when: A bet needs a defensible size before it gets funded

Output: A sized opportunity with assumptions and ranges

4.5

TAM Estimation

Use when: You need a credible total-market number two ways

Output: A top-down and bottom-up TAM with a reconciliation

4.6

Demand Forecast

Use when: Planning needs a forecast built on real drivers

Output: A driver-based demand forecast with scenarios

5

Group 5 · 11 agents

Go-to-Market Agents

Build the path from strategy to market: channels, partners, positioning, and the category itself. Eleven agents that turn a chosen direction into a reachable customer.

5.1

Channel Strategy

Use when: You need the right route to reach and serve buyers

Output: A channel mix with economics and coverage logic

5.2

Partnership Strategy

Use when: You must decide what to build, borrow, or buy

Output: A partnership plan with fit and value-share logic

5.3

Ecosystem Mapping

Use when: Value is created across players, not by one firm

Output: An ecosystem map of roles, flows, and control points

5.4

Geographic Expansion

Use when: You are choosing which markets to enter first

Output: A ranked market shortlist with attractiveness and distance

5.5

Market Entry

Use when: A target market is chosen and the how is open

Output: An entry-mode recommendation with risks and staging

5.6

Go-to-Market

Use when: A product needs a coherent launch motion

Output: A GTM plan across motion, funnel, and metrics

5.7

Brand Positioning

Use when: The brand does not own a clear place in the mind

Output: A positioning statement with frame, target, and proof

5.8

Messaging Strategy

Use when: Teams say different things to the same buyer

Output: A message house of core idea, pillars, and proof

5.9

Differentiation

Use when: The offer looks the same as every competitor

Output: Points of difference and parity with defensibility

5.10

White Space

Use when: You are hunting for uncontested demand

Output: A white-space map with attractive unmet needs

5.11

Category Design

Use when: You want to define the game, not just play it

Output: A category point of view with problem and worldview

6

Group 6 · 8 agents

Corporate Development Agents

Pressure-test where the real value sits before capital moves. These agents screen deals, map synergies, and trace value through the cost base and the value chain.

6.1

M&A Screening

Use when: A long list of targets needs a disciplined filter

Output: A scored target shortlist against strategic criteria

6.2

Synergy Mapping

Use when: A deal case rests on synergies that need proof

Output: A synergy bridge of cost and revenue effects

6.3

Capability Audit

Use when: You must know what the organization can actually do

Output: A capability map with maturity and gaps

6.4

Resource Allocation

Use when: Money and talent are stuck in yesterday's priorities

Output: A reallocation plan by expected return

6.5

Budget Tradeoff

Use when: Every team wants more and the pool is fixed

Output: A tradeoff view ranking spend by marginal return

6.6

Cost Advantage

Use when: You need to know if your cost position can win

Output: A cost-position read with cost-to-serve drivers

6.7

Profit Pool

Use when: You need to see where money is actually made

Output: A profit-pool map across the value chain

6.8

Value Chain

Use when: You want to find advantage activity by activity

Output: A value-chain view of margin and differentiation levers

7

Group 7 · 10 agents

Operating Model Agents

Turn strategy into structure, ownership, and risk controls. Ten agents that decide how work gets done, who decides, and how supply and capacity hold up.

7.1

Operating Model

Use when: Strategy has no clear way of getting done

Output: An operating-model design across capabilities and governance

7.2

Org Design

Use when: The structure fights the strategy

Output: An org design with spans, layers, and accountabilities

7.3

Decision Rights

Use when: Decisions stall because no one owns them

Output: A decision-rights map by role and decision

7.4

Risk Strategy

Use when: Strategic risks have no owner or response

Output: A risk register with likelihood, impact, and mitigations

7.5

Regulation Watch

Use when: Regulatory change could reshape the plan

Output: A regulatory horizon scan with exposure and actions

7.6

Policy Impact

Use when: A policy shift needs a business impact read

Output: A policy impact assessment with scenarios

7.7

Supply Strategy

Use when: Supply risk or cost threatens the strategy

Output: A supply strategy segmented by risk and spend

7.8

Sourcing Options

Use when: You must choose make, buy, or partner

Output: A sourcing recommendation with tradeoffs

7.9

Network Design

Use when: Footprint and flows are not optimized for cost or service

Output: A network design balancing cost and service

7.10

Capacity Planning

Use when: Demand and capacity are out of step

Output: A capacity plan matched to demand scenarios

8

Group 8 · 7 agents

Future-Readiness Agents

Build the strategy for the strategy to survive what comes next: resilience, sustainability, and the digital, data, and AI foundations the plan will depend on.

8.1

Resilience Strategy

Use when: The plan could break under a serious shock

Output: A resilience plan with stress tests and buffers

8.2

Sustainability

Use when: Sustainability needs to connect to real value

Output: A materiality-based sustainability priority list

8.3

ESG Strategy

Use when: ESG commitments lack a coherent strategy

Output: An ESG framework with priorities and metrics

8.4

Digital Strategy

Use when: Digital investment lacks a value-linked plan

Output: A digital strategy tied to value pools and maturity

8.5

AI Adoption

Use when: AI ideas are everywhere and focus is missing

Output: A prioritized AI use-case portfolio

8.6

Data Strategy

Use when: Data is an asset the strategy cannot yet use

Output: A data strategy across value, governance, and foundations

8.7

Automation Strategy

Use when: You need to know what to automate first

Output: An automation roadmap ranked by value and effort

9

Group 9 · 8 agents

Delivery and Governance Agents

Close the loop from decision to delivery: run the transformation, ready the people, brief the board, and keep execution honest against the strategy.

9.1

Transformation PMO

Use when: A transformation needs a spine to run on

Output: A transformation office design with value tracking

9.2

Change Readiness

Use when: A change could stall on people, not plan

Output: A change-readiness assessment with actions

9.3

Stakeholder Map

Use when: The recommendation must survive the room

Output: A power-interest stakeholder map with engagement plan

9.4

Board Briefing

Use when: The board needs a crisp, decision-ready pack

Output: A board briefing structured for a decision

9.5

Executive Narrative

Use when: The story does not land in the first minute

Output: A top-down executive narrative with a governing thought

9.6

Initiative Tracker

Use when: Too many initiatives run with no shared view

Output: An initiative portfolio tracker with status and value

9.7

Strategy Review

Use when: Strategy is set once and never revisited

Output: A strategy-review cadence with the right questions

9.8

Execution Alignment

Use when: Delivery has drifted from the strategy

Output: An alignment view linking work back to strategic goals

Groups 1 to 4 read the market and choose where to play. Group 5 builds the path to market. Groups 6 to 7 test value and design the operating model. Groups 8 to 9 keep the strategy ready and land it in delivery.

Setup Guide

Step 1

Download the agents pack

Download all 67 agents (.zip)

The zip contains all 67 agents, one folder per agent. Each agent is a single SKILL.md file. Unzip it anywhere. Keep the whole set, or pull out just the folders you need.

Step 2

Create a Claude Project

Go to claude.ai, open the left sidebar, click Projects, then Create Project. Name it something like "Strategy Department" so you can reuse it across engagements.

Claude Projects view with the New project button highlighted
Step 3

Add the agents as Project Knowledge

Inside your project, open Project Knowledge, click Add Content, and upload the .md files. Add as many as you want, one agent, an entire group, or all 67. Claude references them automatically in every conversation inside that project.

Finder window with the strategy agents for Claude markdown files being dragged into the Claude project Files panel
Step 4

Run the agents

Open a new conversation inside the project, paste in your data, and name the agent you want Claude to run. Claude reads it from project knowledge and runs the analysis with the framework already loaded. Chain several to move from market signal to board briefing in one sitting.

Tip

Refer to the agent by name in your prompt. Phrases like "Run the market-sensing agent" or "Use the opportunity-sizing agent" point Claude at the right framework instead of leaving it to guess.

Example prompts

  • "Run the market-sensing agent on the European payments market and hand the signals to the growth-options agent."
  • "Use the opportunity-sizing agent to size a B2B onboarding product two ways."
  • "Run the operating-model agent, then the decision-rights agent, to turn the strategy into how work gets done."
  • "Use the board-briefing agent to turn this recommendation into a decision-ready pack."

Where to start

Sixty-seven agents is a department, not a to-do list. Pick the row that matches what you need this week and run that agent first.

Your need
Agent to run
Read the market before you commit
Market Sensing
Pick the few priorities that matter
Strategic Priorities
Get the offer right for real demand
Value Proposition
Size the prize before you fund it
Opportunity Sizing
Find the route to market
Go-to-Market
See where the money is really made
Profit Pool
Turn strategy into how work gets done
Operating Model
Prioritize where AI actually pays off
AI Adoption
Brief the board for a decision
Board Briefing
Keep delivery honest to the strategy
Execution Alignment

The quality bar

Every agent is designed to push Claude toward outputs that meet the same partner-grade quality bar, the standard a senior strategist would hold each deliverable to before it leaves the room.

Decision-oriented, not descriptive
Structured before analytical
Grounded in a named method
Evidence-aware and assumption-conscious
Option-aware, not single-answer
Executive-readable in the first minute
Specific enough to act on
Traceable from claim to input
Pyramid and SCQA-structured
Pressure-tested before it ships
Tied to a real decision question
Consistent from signal to boardroom