// claude skills · craigm26 · 2026 · founder-skills

A judgment layer for Claude Code

Fifteen skills that calibrate and orchestrate a session — session calibration, Fable 5 orchestration, a validate → decide → spec → tasks chain, craft, and maintainer tooling. For any builder, developer, or researcher running Claude Code with Fable 5.

/plugin marketplace add craigm26/founder-skills
00 · Why this exists

Spend judgment first.

Token efficiency. A 30-second calibration at session start — effort tier, domain, what done looks like — governs how millions of downstream tokens get spent. Wrong-direction work and wrong-model routing are the two most expensive failure modes of an agentic session, and both are cheapest to prevent before the first tool call. The judgment layer spends a few hundred tokens to make that decision explicit.

Fable 5 is a leap in intuition. A model that can genuinely judge when to plan, what to route where, and how much effort a task deserves makes a calibration layer worth building. These skills give that intuition a structured place to act — explicit, inspectable, and reusable — instead of leaving it implicit and unrepeatable inside each session.

01 · Before you begin

Three concepts.

1. Skills are the judgment layer

Claude Code ships powerful execution primitives. A skill encodes when and how to use them — under what conditions, in what order, with what routing and checks.

PrimitiveWhat it doesOfficial docs
SubagentsSpawn focused agents from within a session Subagents
Agent SDKMulti-agent pipelines and custom harnesses Agent SDK
AskUserQuestionStructured questions with typed options Interactive mode
Slash commandsInvocable workflows like the ones on this page Slash commands
MemoryPersistent context across sessions Memory
Model routingOpus 4.8 / Sonnet 4.6 / Haiku 4.5 tiers Models overview
Tool useStructured tools that call APIs or run code Tool use

2. The planner is not the coder

These skills follow one orchestration pattern: the planning model writes an in-depth plan, an implementation model executes it, the planner reviews the result against the plan. The separation keeps the planner honest and the implementer focused. The /founder-effort skill sets which tier each role routes to.

3. Token budget shapes the whole session

Opus on everything is powerful and expensive; Sonnet is fast and cost-effective; a written plan file can be handed to an external executor for minimal spend. The skills make that routing decision explicit at session start — not buried inside each task.

02 · Install

Two commands.

/plugin marketplace add craigm26/founder-skills

# the calibrators — start here
/plugin install session-start@founder-skills
/plugin install founder-effort@founder-skills

# or all fifteen, one loop
for s in session-start founder-effort market-validation build-options prd tasks \
  fable-orchestrated-feature-dev fable-repo-audit fable-org-audit \
  fable-loop-design tufte-viz ecosystem-planning \
  skill-style-guide skill-release-gate skill-freshness-watch; do
  /plugin install ${s}@founder-skills
done

Plugins and marketplaces are a native Claude Code feature — see Plugins and Plugin marketplaces.

03 · Session zero

What /session-start looks like.

One AskUserQuestion call, three questions, ~30 seconds:

Effort level
What's the effort level for this session?
Quick exploration — Sonnet 4.6 throughout; spikes, research, one-off tasks Focused sprint — Sonnet implements, Opus 4.8 plans and reviews Deep build — Opus 4.8 throughout; architecture, high-stakes launches Constrained — Sonnet only; heavy lifts hand off as plan files
Domain
What are you working on this session?
New product idea · Existing feature · Research / analysis · Infrastructure
Done looks like
What does "done" look like at the end of this session?
A decision · A plan file · Merged code · A shareable artifact

Then the routing announcement:

Effort: Focused. Planning → Opus 4.8, implementation → Sonnet 4.6.
This session I'll route to /market-validation → /build-options.
Say the skill name to begin.
04 · The chain

Each output is the next input.

/session-start /market-validation /build-options /prd /tasks implement review

A cited evidence pack → a weighted decision matrix → an implementation-ready PRD → a machine-verifiable task plan → code, reviewed against the plan. Enter wherever your work starts: an existing feature begins at /prd; research-only ends at the evidence pack.

05 · The fifteen skills

Walkthroughs.

Session layer

session-start

a few hundred tokens

You stop losing the first hour to wrong-direction work. Three questions route the session, set the model tier, and surface what last session left unfinished.

Walkthrough →

founder-effort

a few hundred tokens

Your token budget becomes a decision, not an accident. One question sets the tier; maps cleanly onto the API's effort levels and Task Budgets when you need per-request control.

Walkthrough →

Fable 5 orchestration

fable-orchestrated-feature-dev

plan + review cheap; impl varies

Features ship to spec, not to vibes. Fable plans → a model implements → Fable reviews against the plan. The plan's acceptance criteria double as a hosted Outcome rubric for unattended runs.

Walkthrough →

fable-repo-audit

one deep pass

You know exactly what you're walking into before you refactor. Severity-rated findings with file:line evidence, a strategy, a milestone plan — and refusal-aware handling for security-adjacent code.

Walkthrough →

fable-org-audit

live API probes

Silent customer-integration failures get caught before the demo. 8 dimensions graded 🟢🟡🔴⚫, documents two triggers for a weekly cadence (/schedule routines, CMA scheduled deployments), gets smarter every run via memory.

Walkthrough →

fable-loop-design

design-time only

Your agent stops at "done", not "good enough". Rubric-graded loops with an independent verifier (Anthropic's documented best practice), built on /goal, /loop, and Managed Agents Outcomes.

Walkthrough →

Workflow chain

market-validation

1.13M tokens measured (4-angle run) · ~1.5M full

You decide on evidence, not enthusiasm. Every claim live-URL-verified, counter-evidence always included — a cited pack and deck you can put in front of an investor.

Walkthrough →

build-options

314k tokens measured (3-lens run)

You commit to a build knowing when to quit it. Independent judges score divergent options into a weighted matrix; the winner comes with explicit kill criteria.

Walkthrough →

prd

minimal

A spec in minutes, with the scoping reasoning visible — it answers its own clarifying questions so you only correct, never dictate.

Walkthrough →

tasks

minimal

Your plan executes without you in the loop. Every criterion is a boolean check an agent can verify alone — and exports directly as a Managed Agents Outcome rubric.

Walkthrough →

Craft

tufte-viz

minimal

Charts your audience trusts at a glance. Tufte-principled design and critique, calibrated by four working demos of honest vs. decorative.

Walkthrough →

ecosystem-planning

a few parallel agents

Cross-repo changes land without breaking the invariant. Confidently-wrong agent claims get verified against real code before a line of plan prose is written.

Walkthrough →

Maintainer tooling

skill-style-guide

docs-led · low spend

Every skill in your marketplace reads like one author wrote it. A 16-item conformance checklist — frontmatter, trigger-rich descriptions, honesty and Tests sections, a README template — calibrated against your own repo's golden set.

Walkthrough →

skill-release-gate

local checks · low spend

You stop shipping broken plugins from a live default branch. A local pre-push gate — test suites, manifest JSON parse, sanitization grep, gitignore-swallow check — plus version-bump and installed-cache-desync discipline.

Walkthrough →

skill-freshness-watch

read-only sweep · low spend

Your published skills stop going quietly stale. A read-only drift sweep across six check classes — model IDs, manifest versions, beta-surface claims, cited-URL liveness, installed cache, sibling repos — with a multi-file bump procedure when a new model ships.

Walkthrough →
06 · The pattern

AskUserQuestion.

The calibration skills are built on one tool: typed questions with described options collect better answers, faster, than freeform prompts. Wire it into your own skills the same way:

AskUserQuestion({
  questions: [{
    header: "Short label",
    question: "The actual question?",
    multiSelect: false,
    options: [
      { label: "Option A", description: "What it means" },
      { label: "Option B", description: "What it means" }
    ]
  }]
})

See Interactive mode in the official docs.

07 · The bigger picture

Part of a larger catalog.

All fifteen skills install from this one marketplace — a complete pattern for Fable 5-level orchestration and organizational/operational usage. The sibling catalog site presents the same skills as a browsable portfolio: categories, scenarios ("when to reach for a skill"), and per-surface install guidance (CLI, Desktop, API).

Browse the catalog →