Agent skill

Exploration

by romiluz13 in romiluz13/cc10x

Two-mode exploration skill: (1) design dialogue — turn rough ideas into validated designs through collaborative interview before planning; (2) spike — throwaway code answering ONE design question…

MITAuto-check: notesAgent Workflows

Install Exploration

skills CLI
$ npx skills add romiluz13/cc10x --skill exploration -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install romiluz13/cc10x exploration --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/romiluz13/cc10x.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/cc10x/skills/exploration .claude/skills/exploration && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
exploration
GitHub stars
164
Token cost
~2.8k tokens
SKILL.md length
1,396 words
Files
1
Skills in repo
22
Repo updated
First seen
Licence
MIT

At a glance

Two-mode exploration skill: (1) design dialogue — turn rough ideas into validated designs through collaborative interview before planning; (2) spike — throwaway code answering ONE design question…

  • Works in 4 steps: State the ONE Question → Pick the Branch → Hand It Over → …
  • Agent Workflows work in your project
  • SKILL.md covers Mode: DESIGN and Mode: SPIKE
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Exploration is an agent skill from romiluz13/cc10x. Two-mode exploration skill: (1) design dialogue — turn rough ideas into validated designs through collaborative interview before planning; (2) spike — throwaway code answering ONE design question, deleted or absorbed, never shipped. Router invokes mode via dispatch context.

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows. The repository describes itself as: The Loop Engine for Claude Code — engineer the loop, not the prompt. 1 router · 9 agents · 16 skills · 4 workflows. Fail-closed gates, test honesty, anti-anchored review. The licence is MIT.

When your agent uses it

  • Agent Workflows work in your project

Example prompts

  • “/exploration”

Requirements

  • Pre-approved tools (allowed-tools): Read, Grep, Glob, AskUserQuestion, Write, Edit, Bash

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. State the ONE Question
  2. Pick the Branch
  3. Hand It Over
  4. Close-Out (MANDATORY)

What it can do on your machine

Read from SKILL.md and the folder at commit 891acf0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Grep
    • Glob
    • AskUserQuestion
    • Write
    • Edit
    • Bash

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Exploration loads about 2.8k tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 1,396 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~72
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Grep, Glob, AskUserQuestion, Write, Edit, Bash

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from romiluz13/cc10x at commit 891acf0, republished under its MIT licence (© romiluz13). 1,396 words, ~2,767 tokens.

Download SKILL.mdSave it as .claude/skills/exploration/SKILL.md (or your agent's skills folder).
name
exploration
description
Two-mode exploration skill: (1) design dialogue — turn rough ideas into validated designs through collaborative interview before planning; (2) spike — throwaway code answering ONE design question, deleted or absorbed, never shipped. Router invokes mode via dispatch context.
allowed-tools
Read, Grep, Glob, AskUserQuestion, Write, Edit, Bash
user-invocable
false

Exploration (Design + Spike)

Two modes, selected by router dispatch context: design (brainstorm a design) or spike (throwaway prototype). DESIGN includes an optional inline sub-procedure, the Doubt Pass, for high-stakes decisions — it is not a third mode.

Mode: DESIGN

Turn rough ideas into validated designs through collaborative dialogue. Understand what to build BEFORE designing how to build it. Use the user's domain language — don't invent new terminology when the repo or prompt already has a stable name.

Scope Triage (Front of Flow)

Before opening the interview, decide whether this is ONE design or MANY. A request spanning multiple independent subsystems produces a sprawling, unfocused design.

Multi-subsystem trigger: 2+ pieces that could be built, tested, and shipped independently — different surfaces, data stores, deploy targets, or pieces joined only by "and."

If multi-subsystem: emit a decomposition recommendation (independent pieces, relationships, build order), then brainstorm ONLY the first sub-project. The router carries the rest forward.

Synthesize-Now Fast Path

If goal + constraints + acceptance are ALL already evident from the prompt or context: skip the interview, draft the design directly, present for confirmation in ONE pass. Still record rejected alternatives (ADR notes). On correction, fix the named gap — don't restart the full interview.

Gate: take the fast path ONLY when all three are stated, not inferred. When in doubt, interview.

Interview (when fast path gate fails)

Cover these 5 dimensions, but only ask about dimensions that are still unresolved. Skip a question when the answer is already explicit — write the inferred answer, mention the assumption, continue.

  1. Purpose — what problem does this solve?
  2. Users — who will use this?
  3. Success — how will we know it works?
  4. Constraints — limitations, requirements, out-of-scope
  5. Scope — single module, single file, full feature, cross-cutting

Always ask: "What is explicitly NOT part of this?" (out-of-scope discovery).

One question at a time — asking several questions at once is bewildering. Multiple choice preferred. If a fact can be found by exploring the environment (filesystem, tools), look it up rather than asking; the decisions are the user's. Present 2-3 approaches with trade-offs before asking which to pursue. YAGNI ruthlessly — defer what is not essential.

Intent Completeness Gate (before proceeding to design): (1) small enough to fit in one paragraph, (2) contradiction-free, (3) sufficiently specific that a builder could act without clarifying questions. If any fails, ask one more targeted question.

Domain Glossary + ADR Notes

Accrete domain vocabulary as the interview names terms. Record load-bearing rejected alternatives as ADR notes. Both are emitted in the handoff so the planner inherits the project's language and the rationale for rejected directions.

Challenge domain terms — don't just accrete, challenge.

  • Contradiction with CONTEXT.md: when a term the user uses conflicts with the existing glossary, surface it immediately ("your glossary defines cancellation as X, but you seem to mean Y — which is it?"). Domain-shaping contradictions (contracts/persistence/user-language) stop for human input; low-blast-radius ones proceed with a recorded assumption.
  • Contradiction with code: when the user states how something works, check whether the code agrees. If not, surface it: "your code cancels entire Orders, but you just said partial cancellation is possible — which is right?"
  • Vague/overloaded terms: propose a precise canonical term ("you're saying account — do you mean the Customer or the User? those are different things").
  • Update CONTEXT.md inline as terms resolve (append-only glossary entries). Use the format in cc10x:domain-modeling/CONTEXT-FORMAT.md. Create the file lazily if it doesn't exist.
  • Offer an ADR only when all three are true: hard to reverse, surprising without context, and the result of a real trade-off. Use cc10x:domain-modeling/ADR-FORMAT.md; write to docs/adr/.

Exploration in DESIGN mode is a designated CONTEXT.md writer (alongside planner and doc-syncer).

Design Output

Save to docs/plans/YYYY-MM-DD-<feature>-design.md (use -design.md suffix, not -plan.md, to prevent collision with planner output).

Template: Purpose, Users, Success Criteria, Constraints, Out of Scope, Approach Chosen, Domain Glossary (if any), Decisions/ADR notes (if any), Architecture, Components, Data Flow, Error Handling, Testing Strategy, Observability (if applicable), UI Mockup (if UI feature), Questions Resolved.

Design Self-Review Gate (MANDATORY — before handoff)

Scan the design for the 4 failures that corrupt downstream plans. Fix inline — no second review pass.

  1. No placeholders/TBD — every section holds a real decision, not a stub. If N/A, say so explicitly.
  2. Internally consistent — components in Architecture all appear in Data Flow; Error Handling covers the chosen Approach's failure modes; Success Criteria don't conflict with Constraints/Out-of-Scope.
  3. Single-plan scope — one coherent thing a single plan can sequence. If it grew to span multiple subsystems, narrow to the first and record the rest in Out of Scope.
  4. No two-way-ambiguous requirements — pick ONE interpretation, state it explicitly.
Design Handoff (MACHINE-READABLE — do NOT edit .cc10x/*.md)
yaml
### Brainstorming Handoff (MACHINE-READABLE)
DESIGN_FILE: "{PROJECT_DIR}/docs/plans/YYYY-MM-DD-<feature>-design.md"
DESIGN_SUMMARY: "[one-sentence summary]"
MEMORY_NOTES:
  glossary:
    - term: "[Term]"
      meaning: "[precise meaning]"
  decisions:
    - decision: "[what was chosen]"
      rejected: "[alternative not taken]"
      why: "[the constraint or trade-off that decided it]"

Router carries design forward and persists memory. Do NOT write memory yourself.

Doubt Pass (DESIGN sub-procedure — inline self-check)

For non-trivial decisions where correctness matters more than speed: subject the decision to an adversarial re-read BEFORE it stands. This is IN-FLIGHT course correction, not post-hoc review.

When to Use
  • Working in unfamiliar code
  • Stakes are high (production, security-sensitive, irreversible operations)
  • A confident output would be cheaper to verify now than to debug later
  • The decision involves >2 non-trivial trade-offs
Show full SKILL.md (586 more words)Show less
The 5-Step Cycle
  1. CLAIM — state the decision as a testable claim in one paragraph: "We will use X because Y"
  2. EXTRACT — extract the artifacts the claim depends on: the key assumptions, plus concrete evidence (code samples, API signatures, data flows) that support them
  3. DOUBT — adversarially re-read the extracted artifacts while deliberately setting the CLAIM aside: work from the ARTIFACT + CONTRACT only, and hunt for the weakest assumption, the scenario where the decision backfires.
  4. RECONCILE — compare the doubt pass's assessment against the original claim. Where they agree → high confidence. Fix the decision, strengthen the assumption, or reject the finding with evidence.
  5. STOP — escalate to the user when EITHER: (a) a cycle produces substantive findings but zero are classified as actionable (doubt theater, not doubting), or (b) 3 cycles complete without convergence (the 3-cycle cap — don't loop forever).

Note: DOUBT is an inline self-check, not fresh-context isolation — sub-agent fan-out is router-owned; if genuinely independent review is required, request router-mediated dispatch in the handoff.

Rationalization guard: "This is too simple to doubt" → simple decisions have simple artifacts, so the doubt pass is fast. No excuse to skip.


Mode: SPIKE

A prototype is throwaway code that answers exactly ONE design question. It exists to de-risk an unknown cheaply before paying for the full BUILD chain.

Hard Wall (read before writing any prototype)

A prototype's rules NEVER leak into a BUILD. "No tests, no abstractions, move fast" lives and dies inside the spike. If the answer is "build it for real," that is a fresh BUILD through the router with full TDD/reviewer/verifier gates. The spike's code does not become production by surviving.

<!-- scar: 2026-06-17 — spike's "move fast, no tests" code promoted to production by inertia, skipping TDD/verifier gates. The prototype proving a question is NOT the same as the answer being shipped. -->
Step 1: State the ONE Question

Write it down — one sentence at the top. The prototype exists only to answer it. If you can't name the question in one sentence, you need design mode or a plan, not a spike.

Step 2: Pick the Branch

Branch A — LOGIC question ("does this logic/state model feel right?"):

  • Build a tiny interactive harness/TUI that drives the model by hand
  • Isolate the salvageable core behind a pure interface (reducer, state machine, pure functions) — no I/O, no terminal code inside it. This is the part that can be lifted later
  • No persistence unless persistence IS the question

Branch B — UI question ("what should this look like?"):

  • Generate 3-5 structurally DIFFERENT variants on an existing route, switchable via ?variant= URL param
  • Variants must differ structurally (layout, hierarchy, primary affordance) — not just color or copy
  • Switcher is dev-only: gate on process.env.NODE_ENV !== 'production'
  • Read-only: point mutations at a stub
Step 3: Hand It Over

Give the user the one run command (Branch A) or the URL + ?variant= keys (Branch B). They drive it. The valuable moments are "wait, that shouldn't be possible" (logic bug) and "I want header from B with sidebar from C" (the real design).

Step 4: Close-Out (MANDATORY)

4a. Capture the answer (router-owned — do NOT write memory directly):

yaml
### Prototype Handoff (MACHINE-READABLE)
PROTOTYPE_QUESTION: "[the one question]"
PROTOTYPE_ANSWER: "[the verdict]"
PROTOTYPE_DISPOSITION: "delete" | "absorb"
ABSORB_TARGET: "[module/route to build for real, or N/A]"
MEMORY_NOTES: "[one-line durable lesson, or N/A]"

4b. DELETE or ABSORB (no third option):

  • DELETE — spike answered the question, nothing salvageable. Remove spike code, throwaway route, switcher. Answer survives in memory; code does not.
  • ABSORB — spike's pure core or winning variant is worth keeping. ABSORB triggers a fresh BUILD (see Hard Wall). Delete the throwaway harness. Set PROTOTYPE_DISPOSITION: absorb and name ABSORB_TARGET so the router opens the absorbing BUILD.

Emit the verdict and hand back to the router.

© romiluz13, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/cc10x/skills/exploration of romiluz13/cc10x.

Open the folder on GitHubat commit 891acf0

Compare with similar skills

Exploration next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Exploration compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Exploration this skillromiluz13/cc10x164—~2.8kAutomated safety check: NotesMIT
MCP Server Builderanthropics/skills180k62 repos~2.3kAutomated safety check: PassApache-2.0
Hook Development for Claude Code Pluginsanthropics/claude-plugins-official37k11 repos~4.1kAutomated safety check: NotesApache-2.0
Using Superpowersfarm-fe/farm5.6k34 repos~1.4kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers296k2 repos~5.1kAutomated safety check: PassMIT
Claude Code Agent Developmentanthropics/claude-plugins-official37k8 repos~2.8kAutomated safety check: PassApache-2.0

Similar skills

  • MCP Server Builder

    anthropics/skills

    Official

    Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.

    180k GitHub starsUsed in 62 repos~2.3k tokens
    Agent WorkflowsAuto-check passed
  • Hook Development for Claude Code Plugins

    anthropics/claude-plugins-official

    Official

    Explains how to write Claude Code plugin hooks, both prompt-based checks and bash commands, for events such as PreToolUse, Stop and SessionStart.

    37k GitHub starsUsed in 11 repos~4.1k tokens
    Agent WorkflowsAuto-check: notes
  • Using Superpowers

    farm-fe/farm

    A skill your agent uses when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions

    5.6k GitHub starsUsed in 34 repos~1.4k tokens
    Agent WorkflowsAuto-check passed
  • Executing Plans Inline

    obra/superpowers

    Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.

    296k GitHub starsUsed in 2 repos~5.1k tokens
    Agent WorkflowsAuto-check passed
  • Claude Code Agent Development

    anthropics/claude-plugins-official

    Official

    Explains how to write agents for Claude Code plugins: the markdown file with YAML frontmatter, trigger descriptions, model and color settings, and system prompt design.

    37k GitHub starsUsed in 8 repos~2.8k tokens
    Agent WorkflowsAuto-check passed
  • Skill Creator

    Azure/azqr

    Official

    Create new skills, modify and improve existing skills, and measure skill performance.

    794 GitHub starsUsed in 89 repos~8.2k tokens
    Agent WorkflowsAuto-check passed

More from romiluz13/cc10x

All 22 skills in this repo
  • Diff Driven Docs

    romiluz13/cc10x

    A skill your agent uses when a BUILD phase completes, a commit is staged, or a PR is about to be created, and the diff has not yet been reflected in documentation.

    164 GitHub stars~2.7k tokensUpdated 7 days ago
    Auto-check: notes
  • Cc10x Guide

    romiluz13/cc10x

    Answers questions about cc10x itself — what it is, how to install and configure it, how the router, workflows, memory, and hooks operate, and how to troubleshoot.

    164 GitHub stars~1.7k tokensUpdated 7 days ago
    Auto-check passed
  • Cc10x Router

    romiluz13/cc10x

    THE ONLY ENTRY POINT FOR CC10X. An agent skill from romiluz13/cc10x.

    164 GitHub stars~17k tokensUpdated 7 days ago
    Auto-check passed
  • Codebase Design

    romiluz13/cc10x

    Canonical deep-module vocabulary (module, interface, depth, seam, adapter, leverage, locality) for designing a module's shape — a lot of behaviour behind a small interface at a clean seam, testable…

    164 GitHub stars~1.9k tokensUpdated 7 days ago
    Auto-check passed
  • MCP CLI

    romiluz13/cc10x

    A skill your agent uses when you need a one-off MCP server capability during research or debugging without permanently mounting it as a context-polluting integration.

    164 GitHub stars~739 tokensUpdated 7 days ago
    Auto-check: notes
  • A skill your agent uses when a git merge or rebase reports conflicts and the operation is in progress.

    164 GitHub stars~709 tokensUpdated 7 days ago
    Auto-check: notes

Categories

Questions about Exploration

What does Exploration do?

Two-mode exploration skill: (1) design dialogue — turn rough ideas into validated designs through collaborative interview before planning; (2) spike — throwaway code answering ONE design question…. Exploration is an agent skill from romiluz13/cc10x. Two-mode exploration skill: (1) design dialogue — turn rough ideas into validated designs through collaborative interview before planning; (2) spike — throwaway code answering ONE design question, deleted or absorbed, never shipped.

When should I use Exploration?

Exploration fits situations like: agent Workflows work in your project.

How do I install Exploration in Claude Code?

Run `npx skills add romiluz13/cc10x --skill exploration -a claude-code`. Or copy the skill folder (plugins/cc10x/skills/exploration in romiluz13/cc10x) into .claude/skills/exploration in your project. Claude Code loads it when a task matches its description.

How do I install Exploration in Codex?

Run `npx skills add romiluz13/cc10x --skill exploration -a codex`. Or copy the skill folder (plugins/cc10x/skills/exploration in romiluz13/cc10x) into .agents/skills/exploration in your project. Codex loads it when a task matches its description.

Can I use Exploration in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add romiluz13/cc10x --skill exploration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/exploration, .gemini/skills/exploration, .github/skills/exploration and .opencode/skills/exploration in your project.

What does Exploration need to run?

SKILL.md names no scripts, command-line tools or credentials: Exploration is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Glob, AskUserQuestion, Write, Edit, Bash.

Does Exploration access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Exploration safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Exploration use?

Exploration is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Exploration use?

About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Exploration?

Skills that share tags, products or a category with Exploration: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 37k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 296k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Exploration?

romiluz13 (a GitHub user) maintains it in romiluz13/cc10x, which has 164 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on September 30, 2026.

Source: romiluz13/cc10x on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.