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strategic-insights

Use this skill to help the user identify strategic insights related to work, professional growth, and career direction; propose one weekly change, one simple…

Skill by baralmanish

IndexedMIT
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/baralmanish-strategic-insights

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Use this skill to help the user identify strategic insights related to work, professional growth, and career direction; propose one weekly change, one simple tracking method, a What/Why/How table, and a downloadable CSV tracker.

Use cases: spreadsheets, marketing

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/strategic-insights

What's inside

Skill name
strategic-insights
Description
Use this skill to help the user identify strategic insights related to work, professional growth, and career direction; propose one weekly change, one simple tracking method, a What/Why/How table, and a downloadable CSV tracker.
License
MIT
Instructions
95 lines in SKILL.md · view on GitHub

Files (5)

  • QUICK_REFERENCE.md
  • README.md
  • SKILL.md
  • weekly-insight-tracker.csv · assets/
  • INSIGHT_FRAMEWORKS.json · references/

SKILL.md (first lines)

# Strategic Insights Coach

Use this skill to surface one under-leveraged professional opportunity from conversation patterns, then run a 1-week experiment with simple tracking.

## When to Use

Use this skill when the user asks for:

- Strategic work or career insight
- A hidden pattern they may not be fully leveraging
- A simple weekly improvement experiment
- A lightweight way to track outcomes

## Inputs

- Primary input: available conversation history (or current conversation if prior history is unavailable)
- Optional argument (`$ARGUMENTS`): focus area (e.g., leadership, communication, career transitions)

## Supporting References

This skill includes strategic frameworks and insight identification models:

- **INSIGHT_FRAMEWORKS.json** — Signal lists for hidden strengths, underuse, and blind spots; five strategic frameworks (Ikigai, Strength Zone, Career Capital, Visibility vs. Impact Matrix, Contribution Ladder); weekly experiment design principles and categorized experiments by theme (communication, visibility, focus, relationships, decisions); output quality rules. Located in `references/`.
- **weekly-insight-tracker.csv** — Downloadable weekly experiment tracker. Located in `assets/`.

The AI uses INSIGHT_FRAMEWORKS.json to apply the most relevant framework to the user's situation and design a testable, specific weekly experiment.

## Process

1. **Reflect on prior conversation evidence**
   - Identify recurring patterns in how the user thinks, decides, communicates, and executes.
   - If historical context is limited, use current conversation evidence and explicitly state uncertainty.

2. **Reveal one hidden under-leveraged opportunity**
   - Tell the user one strategic insight about themselves that they likely have not fully leveraged in life/professional career.
   - Keep it practical, strengths-based, and specific.

3. **Propose one simple weekly change**
   - Exactly one change to try for 7 days.
   - Low-friction, realistic, and testable.

4. **Propose one simple tracking method**
   - One daily indicator and one weekly outcome indicator.
   - Tracking effort should be minimal.

5. **Output in required formats**
   - Provide a simple table with columns: `What`, `Why`, `How`.
   - Provide CSV content the user can copy.
   - Reference the downloadable CSV file: [`weekly-insight-tracker.csv`](./assets/weekly-insight-tracker.csv).

## Required Output Contract

Every response must include all of the following:

1. **Hidden strategic insight** (one concise insight)
2. **One weekly change** (single behavior)
3. **One simple tracking method** (daily + weekly metric)
4. **Action table** with `What | Why | How`
5. **CSV section** matching the downloadable tracker template

The purpose of this skill is to produce a practical behavior experiment with measurable tracking and a ready-to-use CSV capture format.

## Output Template

### Strategic Insight

- [1 concise insight the user likely has not fully leveraged]

### Weekly Change

- **Change:** [single behavior]
- **Duration:** 7 days
- **Daily effort:** [minutes/day]

### Action Table

| What         | Why                | How                      |
| ------------ | ------------------ | ------------------------ |
| [one change] | [strategic reason] | [simple daily execution] |

### Tracking

- **Daily metric:** [binary or count]
- **Weekly metric:** [outcome measure]

### CSV (copy/paste)

Use this CSV block or download the template at [`./assets/weekly-insight-tracker.csv`](./assets/weekly-insight-tracker.csv).

```csv
date,focus_area,strategic_insight,weekly_change,completed_0_1,daily_minutes,weekly_outcome_signal,notes
YYYY-MM-DD,[focus],[insight],[change],0,0,[signal],[notes]
```

From baralmanish/AI-Agent-Skills, MIT.

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Last commit (this folder)
Jun 30, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

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License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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strategic-insights skill. Agent Mart. https://agentmart.dev/skills/baralmanish-strategic-insights (last updated 2026-10-24)