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Learning Agility

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fatihguner
learning-agility

Builds the leader's capacity for rapid, continuous learning through humility, curiosity, feedback receptivity, cross-training, reflective practice, and deliberate skill selection. Use when a leader's expertise has become stale, when the organisation faces skills gaps that training alone cannot close, when setbacks trigger defensiveness rather than growth, or when a leader senses that what got them here will not get them there.

Overview

Publisherfatihguner
Repositoryforeman
Skill namelearning-agility
Stars
63
Forks
10
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by fatihguner on GitHub. Read the source before you install it.

Installation

Install the Learning Agility AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/fatihguner/foreman/tree/main/plugins/foreman/skills/learning-agility
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/fatihguner/foreman.git /tmp/foreman
mkdir -p .claude/skills
cp -r /tmp/foreman/plugins/foreman/skills/learning-agility .claude/skills/learning-agility
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Learning Agility in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Learning Agility on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Learning Agility is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Read runtime and advisory rules before applying this skill. Other Foreman layers and the catalog are in ../../content/, relative to this SKILL.md.

Learning Agility

Every skill you possess has a shelf life. The half-life of a technical skill is now estimated at roughly two and a half years, down from a decade in the 1980s. Management skills decay more slowly but decay nonetheless -- the leadership behaviours that produced results in a 20-person startup may actively hinder a 200-person company. The leader who built their career on deep functional expertise discovers, usually with some discomfort, that expertise is depreciating while the organisational demand for adaptability appreciates. Clayton Christensen, reflecting on this dynamic, observed a painful irony: by the time leaders reach positions of authority, they often believe that only people smarter than them have something to teach them. That belief, which felt like earned confidence at 30, becomes a growth ceiling at 45.

Learning agility -- the capacity for rapid, continuous learning from experience -- is not a personality trait. It is a practice. Korn Ferry's research confirms that leaders who rely on the same assumptions and behavioural repertoires they have used for years are prone to stagnate, underperform, or derail. The antidote is not more training. It is a fundamentally different relationship with one's own competence: one that treats expertise as a platform for further learning rather than a fortress to be defended.


The Practice

The Four Disciplines of Learning Agility

Drawing from Monique Valcour's synthesis of the Korn Ferry research, learning agility rests on four daily disciplines:

1. Receiving Feedback Without Armour

Success creates a thick skin that is useful for absorbing criticism and dangerous for absorbing information. When a leader with a track record hears critical feedback, the default response is to classify it as an exception ("That was a one-off") or to challenge the source ("They don't understand the full picture"). Valcour's prescription is brutal in its simplicity: do not argue. Listen. Sit with the discomfort. Then evaluate whether the feedback reveals a pattern worth investigating.

Erika Andersen extends this with a physical metaphor: when negative feedback arrives, take a breath. The breath creates a gap between stimulus and response -- just enough space to ask "How accurate is this, and how do I know?" rather than "How can I refute this?"

2. Experimenting with New Approaches

Competence produces routine, and routine produces efficiency, and efficiency produces rigidity. The discipline here is to deliberately disrupt one's own problem-solving patterns. When facing a challenge, ask: "How am I inclined to tackle this?" and then: "What are three alternative approaches I have not tried?" The goal is not to abandon what works but to expand the repertoire. A leader who can solve problems in only one way is a specialist. A leader who can solve them in several ways is adaptable.

3. Making Cross-Domain Connections

John Zenger, Joseph Folkman, and Scott Edinger's research on "competency companions" reveals that incremental improvement in an existing strength yields far less than developing a complementary skill. A technically brilliant leader who invests another 100 hours in technical depth gains marginal returns. The same leader who invests 100 hours in communication skills makes the existing technical expertise dramatically more accessible and influential.

The practice: identify a skill domain unrelated to your core competence. Then find connections between that domain and your work. A finance leader who studies design thinking. An engineer who studies negotiation. The cross-pollination produces insights that single-domain expertise cannot generate.

4. Making Time for Reflection

Research from multiple universities confirms that regular reflection on work experiences significantly boosts learning. The practice need not be elaborate. Two questions, asked weekly:

  • "What have I learned from this week's experiences?"
  • "What turned out differently than I expected, and what does that tell me?"

Leaders who demonstrate and encourage reflection create teams that learn faster. The signal matters as much as the substance: when the boss visibly takes time to reflect, it gives permission for everyone else to do the same.

Choosing What to Learn

Erika Andersen proposes three lenses for selecting the next skill to develop:

LensQuestionExample
Value creationWhat would help my team or company create more value?Studying large-project management to reduce delivery times
PassionWhat am I genuinely excited to learn?Process architecture, because I find systems fascinating
AptitudeWhat related skill might I have natural talent for?Complex project management, given my existing organisational strengths

The ideal target sits at the intersection of all three. When that intersection is empty, start with passion -- motivation sustains effort when the learning curve steepens.

Reading Fiction as Leadership Development

Brooke Vuckovic's argument for fiction is not sentimental. Fiction provides low-cost lessons in moral complexity that non-fiction cannot replicate. Fictional characters grapple with greed, self-deceit, likability, and competing loyalties -- precisely the dilemmas that leaders face but that business case studies sanitise. A leader who reads Anna Karenina or The Remains of the Day develops a vocabulary for moral ambiguity that a leader who reads only management books does not.

Staying in Learning Mode

Researchers from UNSW Sydney Business School and the University of Michigan distinguish between performance mode and learning mode. In performance mode, setbacks signal inability. In learning mode, setbacks signal that the skill set is not yet complete. The practical difference is enormous: performance-mode leaders compare themselves to peers and feel threatened by gaps. Learning-mode leaders track their own growth trajectory and treat gaps as queues for the next investment.

The simplest intervention is a self-check question deployed at the moment of difficulty: "Am I in learning mode right now?" If the answer is no, the follow-up is: "What can this situation teach me?"

Learning Everywhere

Darja Kragt's research demonstrates that leadership development need not be confined to the office. Parenting, recreational sport, volunteer work, and community leadership all involve influence, decision-making, and interpersonal dynamics. The leader who experiments with a new coaching approach in their weekend football team before deploying it at work reduces the risk and increases the learning.


Prompts

Prompt 1 -- Skill Shelf-Life Audit:

Here are my core professional skills and when I last significantly developed each: [list skills and approximate dates]. For each, estimate its current shelf life based on industry trends. Identify the three skills most at risk of obsolescence and recommend a specific learning path for each, using the three-lens framework (value creation, passion, aptitude).

Prompt 2 -- Feedback Pattern Analysis:

Here is a summary of feedback I have received over the past 12 months: [list key themes from reviews, 360s, informal comments]. Identify recurring patterns, especially those I may have dismissed or classified as one-offs. For each pattern, suggest one experiment I can run in the next 30 days to test whether the feedback reveals a genuine development need.

Prompt 3 -- Cross-Training Blueprint:

My primary expertise is in [domain]. Identify three complementary skill domains that would amplify the impact of my existing strengths, using Zenger and Folkman's competency-companion model. For each, recommend a specific 30-day learning experiment: what to study, who to learn from, and how to measure progress.

Prompt 4 -- Learning Mode Reset:

I am currently facing this challenge: [describe challenge]. I suspect I am in performance mode rather than learning mode. Reframe this challenge as a learning opportunity: what skills is it asking me to develop? What can I learn from the difficulty itself? What would I do differently if I treated this as a training exercise rather than a test?


Use Cases

Validation-stage founder who knows everything about the product and nothing about sales

A technical founder has built an impressive product but cannot close deals. Rather than hiring a sales leader immediately (which the company cannot afford), the founder applies the three-lens framework: sales skills would create value (lens one), the founder finds persuasion intellectually interesting (lens two), and their existing empathy and listening skills provide aptitude (lens three). A 90-day self-directed learning sprint -- combining a sales methodology book, weekly practice calls with a mentor, and deliberate experimentation in customer conversations -- produces enough competence to close the first ten customers personally.

Growth-stage leader who resists feedback

A VP of engineering has consistently received feedback that they micromanage. Each time, they classify it as a misunderstanding ("I'm just being thorough"). A new coach introduces the breath-and-evaluate technique: when the feedback arrives, pause, do not argue, and then ask "How accurate is this, and how do I know?" The VP begins tracking delegation decisions in a journal. Over eight weeks, a pattern emerges: they intervene in technical decisions that their team leads are fully capable of making. The data -- their own data -- bypasses the defensiveness that external feedback could not penetrate.

Scale-stage executive facing technological disruption

A chief operating officer recognises that AI is transforming operations but has no technical background in machine learning. Rather than enrolling in a comprehensive course (which would take months the company does not have), the COO identifies three internal data scientists and proposes a learning exchange: the COO teaches them stakeholder management, and they teach the COO enough about AI capabilities to make informed strategic decisions. The cross-training produces mutual understanding in weeks rather than months.


Anti-Patterns

1. Treating learning as an event rather than a practice. A three-day workshop does not produce learning agility. Workshops produce exposure. Agility comes from daily habits: reflection, feedback processing, experimentation. Leaders who "do their learning" at the annual offsite and then revert to default behaviour for eleven months are investing in the appearance of growth.

2. Learning only what is comfortable. The leader who reads five more books on a topic they already understand is deepening expertise, not building agility. Agility requires discomfort -- specifically, the discomfort of being a beginner in a domain where one is accustomed to mastery.

3. Collecting knowledge without applying it. Learning agility is measured by behaviour change, not by the number of books read, courses completed, or podcasts consumed. If six months of learning produce no observable change in how a leader operates, the learning is decorative.

4. Confusing learning mode with permissive self-assessment. "I'm in learning mode" is not an excuse for persistent underperformance. Learning mode is a cognitive orientation that accelerates improvement; it is not a licence to remain indefinitely incompetent. The goal is faster progress, not lower standards.

5. Expecting the organisation to drive your learning. Waiting for the company to offer a training programme, assign a mentor, or create a development plan is a passive posture incompatible with leadership. The most agile learners design their own curriculum and seek their own feedback, using organisational resources as supplements rather than substitutes.


By Stage

StageFocusKey Difference
IdeaLearning breadth, generalist skillsThe founder must learn everything; agility is survival
ValidationCustomer-facing skills, rapid iterationLearning speed determines how fast hypotheses are tested
Early TractionDelegation skills, management fundamentalsThe founder must learn to lead, not just do
GrowthStrategic thinking, organisational designLearning shifts from functional skills to systems skills
ScaleIndustry foresight, cross-domain synthesisLearning becomes about anticipation rather than reaction

At idea stage, the founder who cannot learn quickly enough will not survive. Every week brings a new domain to master -- legal, financial, technical, commercial. Learning agility at this stage is not a development aspiration; it is an existential requirement.

At growth, the learning challenge inverts. The founder who succeeded by being the best individual contributor must now learn to lead other contributors. This transition is among the most common derailment points in company building: the skills that produced early success (deep technical work, hands-on customer contact, personal execution) must be partially surrendered in favour of skills that feel alien (delegation, strategic thinking, organisational design). The leader who cannot make this shift becomes the company's ceiling.


Output Template

markdown
# Learning Agility Plan -- [Name]

**Date:** [Date]
**Current role:** [Title]
**Planning horizon:** [6 months / 12 months]

## Skill Shelf-Life Audit

| Skill | Last Major Development | Estimated Shelf Life | Risk Level |
|-------|----------------------|---------------------|------------|
| [Skill] | [Date] | [Years remaining] | [High/Medium/Low] |
| [Skill] | [Date] | [Years remaining] | [High/Medium/Low] |
| [Skill] | [Date] | [Years remaining] | [High/Medium/Low] |

## Next Skill Target

| Lens | Assessment |
|------|-----------|
| Value creation | [How this skill helps the team/company] |
| Passion | [Level of genuine interest: high/medium/low] |
| Aptitude | [Related existing strengths] |

**Selected skill:** [Name]
**Learning method:** [Course / Mentor / Cross-training / Self-directed]
**30-day experiment:** [Specific actions and milestones]
**Success indicator:** [Observable behaviour change]

## Feedback Processing Log

| Date | Feedback Received | Initial Reaction | After Reflection | Action Taken |
|------|------------------|-----------------|-----------------|-------------|
| [Date] | [Summary] | [Honest first response] | [Revised assessment] | [Experiment or change] |

## Weekly Reflection Questions
1. What did I learn from this week's experiences?
2. What turned out differently than I expected?
3. Am I in learning mode right now?

Related Skills

  • Growth Mindset -- Dweck's framework provides the psychological foundation for learning agility; this skill provides the daily behavioural layer.
  • Flow State -- Learning requires periods of deep, focused engagement; flow states accelerate skill acquisition.
  • Emotional Intelligence -- Self-awareness, a core EQ dimension, is the prerequisite for honest skill assessment and feedback receptivity.
  • Focus and Priority Management -- Learning requires protected time; without calendar discipline, growth remains aspirational.
  • Leader Resilience and Wellbeing -- The vulnerability required for genuine learning is only possible when the leader has sufficient emotional reserves.
  • AI Learning for Leaders -- Applies the general learning agility principles specifically to AI literacy, the most pressing domain where non-technical leaders must build new competence rapidly.

Frequently asked questions

What does the Learning Agility AI skill do?

Builds the leader's capacity for rapid, continuous learning through humility, curiosity, feedback receptivity, cross-training, reflective practice, and deliberate skill selection. Use when a leader's expertise has become stale, when the organisation faces skills gaps that training alone cannot close, when setbacks trigger defensiveness rather than growth, or when a leader senses that what got them here will not get them there.

Why use Learning Agility on TypingMind?

Because you install it once and use it with any model. Learning Agility is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Learning Agility in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/fatihguner/foreman/tree/main/plugins/foreman/skills/learning-agility. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Learning Agility?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Learning Agility?

As many as you like. As long as a model supports skills, you can use Learning Agility with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Learning Agility AI skill free?

Yes. It is published on GitHub by fatihguner under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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