gist-plan — for Claude Code gist-plan, mycelium, community, for Claude Code, ide skills, ai-agent, boilerplate, claude-code, delivery, discovery

v1.0.0

Об этом навыке

Подходящий сценарий: Ideal for AI agents that need replace opinion-based roadmaps with evidence-guided planning. source: gilad (evidence guided). Локализованное описание: Theory-guided agentic product development harness for Claude Code # GIST Planning Replace opinion-based roadmaps with evidence-guided planning. It covers ai-agent, boilerplate, claude-code workflows.

Возможности

Replace opinion-based roadmaps with evidence-guided planning. Source: Gilad (Evidence Guided).
Set Goals (Quarterly)
Derive from North Star input metrics or OKRs
Format: "Improve [metric] from [current] to [target] by [date]"
Maximum 3 goals per quarter

# Core Topics

haabe haabe
[0]
[0]
Updated: 4/7/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
8/11
Quality Score
33
Canonical Locale
en
Detected Body Locale
en

Подходящий сценарий: Ideal for AI agents that need replace opinion-based roadmaps with evidence-guided planning. source: gilad (evidence guided). Локализованное описание: Theory-guided agentic product development harness for Claude Code # GIST Planning Replace opinion-based roadmaps with evidence-guided planning. It covers ai-agent, boilerplate, claude-code workflows.

Зачем использовать этот навык

Рекомендация: gist-plan helps agents replace opinion-based roadmaps with evidence-guided planning. source: gilad (evidence guided). Theory-guided agentic product development harness for Claude Code # GIST Planning

Подходит лучше всего

Подходящий сценарий: Ideal for AI agents that need replace opinion-based roadmaps with evidence-guided planning. source: gilad (evidence guided).

Реализуемые кейсы использования for gist-plan

Сценарий использования: Applying Replace opinion-based roadmaps with evidence-guided planning. Source: Gilad (Evidence Guided)
Сценарий использования: Applying Set Goals (Quarterly)
Сценарий использования: Applying Derive from North Star input metrics or OKRs

! Безопасность и ограничения

  • Ограничение: 0.1 = opinion only 0.5 = data supports 0.7 = tested 0.9 = launched
  • Ограничение: Tag each step as Must / Should / Could / Won't (DSDM):
  • Ограничение: Must : Non-negotiable. Delivery fails without this. All REVIEW checks apply.

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

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Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is gist-plan?

Подходящий сценарий: Ideal for AI agents that need replace opinion-based roadmaps with evidence-guided planning. source: gilad (evidence guided). Локализованное описание: Theory-guided agentic product development harness for Claude Code # GIST Planning Replace opinion-based roadmaps with evidence-guided planning. It covers ai-agent, boilerplate, claude-code workflows.

How do I install gist-plan?

Run the command: npx killer-skills add haabe/mycelium/gist-plan. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for gist-plan?

Key use cases include: Сценарий использования: Applying Replace opinion-based roadmaps with evidence-guided planning. Source: Gilad (Evidence Guided), Сценарий использования: Applying Set Goals (Quarterly), Сценарий использования: Applying Derive from North Star input metrics or OKRs.

Which IDEs are compatible with gist-plan?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for gist-plan?

Ограничение: 0.1 = opinion only 0.5 = data supports 0.7 = tested 0.9 = launched. Ограничение: Tag each step as Must / Should / Could / Won't (DSDM):. Ограничение: Must : Non-negotiable. Delivery fails without this. All REVIEW checks apply..

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add haabe/mycelium/gist-plan. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use gist-plan immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

gist-plan

Theory-guided agentic product development harness for Claude Code # GIST Planning Replace opinion-based roadmaps with evidence-guided planning. It covers

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

GIST Planning

Replace opinion-based roadmaps with evidence-guided planning. Source: Gilad (Evidence Guided).

Workflow

1. Set Goals (Quarterly)

  • Derive from North Star input metrics or OKRs
  • Format: "Improve [metric] from [current] to [target] by [date]"
  • Maximum 3 goals per quarter
  • Update canvas/gist.yml goals section

2. Generate Ideas (Ongoing)

  • Ideas are hypothetical ways to achieve goals
  • Most ideas fail (>80%) -- this is expected and planned for
  • Generate many, hold loosely
  • Store in canvas/gist.yml idea bank with ICE scores
  • Never commit to an idea until evidence supports it

3. Score with ICE + Confidence Meter

Use /ice-score to prioritize. ICE scoring (Ellis; confidence dimension added by Gilad):

  • Confidence is NOT gut feel -- it maps to evidence levels
  • 0.1 = opinion only | 0.5 = data supports | 0.7 = tested | 0.9 = launched
  • Rescore after every experiment

Mycelium uses 0.0-1.0 (adapted from Gilad's 0-10 non-linear Confidence Meter). See /ice-score for details.

4. Design Steps (per top idea)

  • Steps are small, time-boxed activities that build evidence
  • Each step has: hypothesis, method, success criteria, MoSCoW priority
  • Tag each step as Must / Should / Could / Won't (DSDM):
    • Must: Non-negotiable. Delivery fails without this. All REVIEW checks apply.
    • Should: Important. Ship if time allows. All REVIEW checks apply.
    • Could: Nice-to-have. Cut first when timebox runs out. NUDGE checks only.
    • Won't: Explicitly out of scope for this cycle. Documented for future reference.
  • Steps follow a confidence ladder: assessment -> exploratory experiment -> feature experiment -> launch
  • Each step produces evidence that increases or decreases confidence
  • If evidence is negative: pivot or kill the idea (sunk cost is irrelevant)
  • For user-facing ideas, frame hypotheses in Lean UX format: "We believe [outcome] for [users] if [change]." (Gothelf)
  • When a delivery timebox is exceeded: Flex scope using MoSCoW — cut Could/Won't before compromising Must/Should

5. Execute Tasks (Sprint-level)

  • Tasks belong to the CURRENT step only
  • Don't plan tasks for future steps
  • Standard agile execution

6. Reprioritize (Continuous)

After each step completes:

  • Update ICE scores based on new evidence
  • Re-rank ideas
  • Kill ideas below threshold
  • Surface new ideas from discovery work

Shape Up: Appetite Over Estimates

Instead of asking "how long will this take?", ask "how much is this worth?" (Shape Up by Basecamp). Set an appetite — the maximum time you're willing to invest — then design the solution to fit within it. If the solution can't fit, narrow the scope, don't extend the timebox. This connects naturally to MoSCoW: appetite defines the timebox, MoSCoW decides what fits within it.

Anti-Pattern: The Feature Roadmap

If your GIST board looks like a feature list with dates, you're doing it wrong. Goals are outcomes, ideas are hypotheses, steps are experiments.

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