/arn-planning
This skill should be used when the user says "planning", "arness planning", "plan a feature", "start planning", "I want to build", "new feature", "plan something", "what should I build", "pick an issue", "plan a bug fix", "I have an idea", "spec and plan", "plan from scratch",
$ npx -y skills add AppsVortex/arness --skill arn-planning --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/arn-planning
Context preview
The summary Claude sees to decide when to auto-load this skill.
This skill should be used when the user says "planning", "arness planning", "plan a feature", "start planning", "I want to build", "new feature", "plan something", "what should I build", "pick an issue", "plan a bug fix", "I have an idea", "spec and plan", "plan from scratch",
SKILL.md
arn-planning.SKILL.mdname: arn-planning
description: >-
This skill should be used when the user says "planning", "arness planning",
"plan a feature", "start planning", "I want to build", "new feature",
"plan something", "what should I build", "pick an issue", "plan a bug fix",
"I have an idea", "spec and plan", "plan from scratch", "plan this",
"feature planning", "bug planning", "plan this issue", "arn-planning",
or wants to go from an idea, issue, or bug report through to a complete
implementation plan ready for execution. Handles severity-aware scope
routing across three ceremony tiers (swift, standard, thorough),
routing between feature specs, bug specs, and quick implementations,
and produces a reviewed plan ready for execution. Chains to
arn-implementing at completion.
version: 1.1.0
Arness Planning
Go from an idea, issue, or bug report through to a complete implementation plan ready for execution. This is the primary first-citizen entry point for the Arness development pipeline. It orchestrates scope assessment, spec authoring, plan generation, plan structuring, plan review, and task creation — then chains to `arn-implementing`.
This skill is a **sequencer and decision-gate handler**. It MUST NOT duplicate sub-skill logic. All pipeline work is done by the invoked skills. Arness-planning handles: input routing, scope assessment, transitions between skills, progress display, resumability, and chaining.
Prerequisites: Ensure Configuration
Read `${CLAUDE_PLUGIN_ROOT}/skills/arn-code-ensure-config/references/step-0-fast-path.md` and follow its instructions. This guarantees a user profile exists and `## Arness` is configured with Arness Code fields before proceeding.
After configuration is ensured, extract the following from `## Arness`:
- **Plans directory** — for detecting plan previews and project folders
- **Specs directory** — for detecting specification files
- **Code patterns** — path to stored pattern documentation
- **Issue tracker** — determines if "Pick from backlog" option is available (`github`, `jira`, or `none`)
Workflow
Step 0: Input Routing
Check the trigger message to determine the entry path:
| Input Pattern | Action | |--------------|--------| | No args | Proceed to Step 1 (State Detection), then G1 if no resume | | Text description (e.g., "planning: add rate limiting") | Extract description, proceed to Step 3 (Scope Assessment) | | Issue reference (`#42`, `PROJ-123`) | Invoke `Skill: arn-code:arn-code-pick-issue` with the reference, then proceed to Step 3 with the loaded issue context | | Feature backlog reference (`F-003`) | Invoke `Skill: arn-code:arn-code-pick-issue` with the reference, then proceed to Step 3 | | "pick" keyword | Invoke `Skill: arn-code:arn-code-pick-issue` (browse mode), then proceed to Step 3 | | "resume" | Proceed to Step 1 (State Detection) |
---
Step 1: State Detection
Check which artifacts exist on disk to determine the entry point. Check from most advanced to least advanced — first match wins:
| Artifact | Detected State | Resume Point | |----------|---------------|--------------| | `INTRODUCTION.md` in `<plans-dir>/<project>/` | Plan saved and structured | G5 (Completion — offer implementing) | | `STANDARD_*.md` in `<plans-dir>/` or project root | Standard tier in progress/complete | Chain to `arn-implementing` with standard intent | | `PLAN_PREVIEW_*.md` in `<plans-dir>/` | Plan generated, not saved | Auto-run save-plan, then G5 | | `FEATURE_*.md` or `BUGFIX_*.md` in `<specs-dir>/` (finalized) | Spec written, no plan | G3 (Spec review) | | `DRAFT_FEATURE_*.md` in `<specs-dir>/` (no finalized spec) | Spec in progress | Resume spec (invoke feature-spec, which detects the draft) | | None of the above | Fresh start | G1 |
**If multiple specs or plans detected:** List them and ask the user which to resume.
**If artifacts detected:**
Show the detected state and ask: "It looks like you have an in-progress plan. Resume from [detected stage], or start fresh?"
- **Resume** → skip to the detected resume point
- **Start fresh** → begin at G1 (do not delete existing artifacts)
**If no artifacts detected:** check for a greenfield feature backlog, then proceed to G1.
**Greenfield backlog check (optional — Arness Spark integration):**
If no Arness Code artifacts were detected, check for a greenfield feature backlog. Arness Spark is an optional plugin — if any condition fails, skip silently and proceed to G1 normally.
1. `## Arness` config has a **Vision directory** field (only set by `arn-spark-init`, never by core `arn-code-init`) 2. If Vision directory exists, `<vision-dir>/features/feature-backlog.md` exists 3. The file contains a `## Feature Tracker` table
If all three pass, parse the Feature Tracker to count features by status (pending, in-progress, done). Skip rows with status `decomposed` — their sub-features are counted individually instead. Calculate unblocked features (pending where all dependencies have status done, or dependencies are None).
Hold the results for G1 — they change how the gate is presented. If any condition fails, proceed to G1 with no backlog context.
---
Step 2: Gate G1 — Entry Point
Only reached when no input was provided and no artifacts were detected for resume.
Show progress:
Planning: ENTRY -> scope-router -> spec -> plan -> save -> review-plan -> taskify -> [ready]
^^^^^**If greenfield backlog was detected in Step 1:**
Present the backlog context before asking:
"A greenfield feature backlog exists with **[total]** features ([unblocked] unblocked, [in-progress] in progress, [done] done).
The unblocked features ready for implementation are available via the backlog."
Ask (using `AskUserQuestion`):
**"What would you like to work on?"**
**If `unblocked > 1`** (batch option available — 4 options):
Options: 1. **Pick from backlog** (Recommended) — Browse [unblocked] unblocked features from the greenfield pipeline 2. **Batch plan ([unblocked]
Read more
name: arn-planning description: >- This skill should be used when the user says "planning", "arness planning", "plan a feature", "start planning", "I want to build", "new feature", "plan something", "what should I build", "pick an issue", "plan a bug fix", "I have an idea", "spec and plan", "plan from scratch", "plan this", "feature planning", "bug planning", "plan this issue", "arn-planning", or wants to go from an idea, issue, or bug report through to a complete implementation plan ready for execution. Handles severity-aware scope routing across three ceremony tiers (swift, standard, thorough), routing between feature specs, bug specs, and quick implementations, and produces a reviewed plan ready for execution. Chains to arn-implementing at completion. version: 1.1.0
Arness Planning
Go from an idea, issue, or bug report through to a complete implementation plan ready for execution. This is the primary first-citizen entry point for the Arness development pipeline. It orchestrates scope assessment, spec authoring, plan generation, plan structuring, plan review, and task creation — then chains to `arn-implementing`.
This skill is a **sequencer and decision-gate handler**. It MUST NOT duplicate sub-skill logic. All pipeline work is done by the invoked skills. Arness-planning handles: input routing, scope assessment, transitions between skills, progress display, resumability, and chaining.
Prerequisites: Ensure Configuration
Read `${CLAUDE_PLUGIN_ROOT}/skills/arn-code-ensure-config/references/step-0-fast-path.md` and follow its instructions. This guarantees a user profile exists and `## Arness` is configured with Arness Code fields before proceeding.
After configuration is ensured, extract the following from `## Arness`:
- **Plans directory** — for detecting plan previews and project folders
- **Specs directory** — for detecting specification files
- **Code patterns** — path to stored pattern documentation
- **Issue tracker** — determines if "Pick from backlog" option is available (`github`, `jira`, or `none`)
Workflow
Step 0: Input Routing
Check the trigger message to determine the entry path:
| Input Pattern | Action | |--------------|--------| | No args | Proceed to Step 1 (State Detection), then G1 if no resume | | Text description (e.g., "planning: add rate limiting") | Extract description, proceed to Step 3 (Scope Assessment) | | Issue reference (`#42`, `PROJ-123`) | Invoke `Skill: arn-code:arn-code-pick-issue` with the reference, then proceed to Step 3 with the loaded issue context | | Feature backlog reference (`F-003`) | Invoke `Skill: arn-code:arn-code-pick-issue` with the reference, then proceed to Step 3 | | "pick" keyword | Invoke `Skill: arn-code:arn-code-pick-issue` (browse mode), then proceed to Step 3 | | "resume" | Proceed to Step 1 (State Detection) |
---
Step 1: State Detection
Check which artifacts exist on disk to determine the entry point. Check from most advanced to least advanced — first match wins:
| Artifact | Detected State | Resume Point | |----------|---------------|--------------| | `INTRODUCTION.md` in `<plans-dir>/<project>/` | Plan saved and structured | G5 (Completion — offer implementing) | | `STANDARD_*.md` in `<plans-dir>/` or project root | Standard tier in progress/complete | Chain to `arn-implementing` with standard intent | | `PLAN_PREVIEW_*.md` in `<plans-dir>/` | Plan generated, not saved | Auto-run save-plan, then G5 | | `FEATURE_*.md` or `BUGFIX_*.md` in `<specs-dir>/` (finalized) | Spec written, no plan | G3 (Spec review) | | `DRAFT_FEATURE_*.md` in `<specs-dir>/` (no finalized spec) | Spec in progress | Resume spec (invoke feature-spec, which detects the draft) | | None of the above | Fresh start | G1 |
**If multiple specs or plans detected:** List them and ask the user which to resume.
**If artifacts detected:**
Show the detected state and ask: "It looks like you have an in-progress plan. Resume from [detected stage], or start fresh?"
- **Resume** → skip to the detected resume point
- **Start fresh** → begin at G1 (do not delete existing artifacts)
**If no artifacts detected:** check for a greenfield feature backlog, then proceed to G1.
**Greenfield backlog check (optional — Arness Spark integration):**
If no Arness Code artifacts were detected, check for a greenfield feature backlog. Arness Spark is an optional plugin — if any condition fails, skip silently and proceed to G1 normally.
1. `## Arness` config has a **Vision directory** field (only set by `arn-spark-init`, never by core `arn-code-init`) 2. If Vision directory exists, `<vision-dir>/features/feature-backlog.md` exists 3. The file contains a `## Feature Tracker` table
If all three pass, parse the Feature Tracker to count features by status (pending, in-progress, done). Skip rows with status `decomposed` — their sub-features are counted individually instead. Calculate unblocked features (pending where all dependencies have status done, or dependencies are None).
Hold the results for G1 — they change how the gate is presented. If any condition fails, proceed to G1 with no backlog context.
---
Step 2: Gate G1 — Entry Point
Only reached when no input was provided and no artifacts were detected for resume.
Show progress:
Planning: ENTRY -> scope-router -> spec -> plan -> save -> review-plan -> taskify -> [ready]
^^^^^**If greenfield backlog was detected in Step 1:**
Present the backlog context before asking:
"A greenfield feature backlog exists with **[total]** features ([unblocked] unblocked, [in-progress] in progress, [done] done).
The unblocked features ready for implementation are available via the backlog."
Ask (using `AskUserQuestion`):
**"What would you like to work on?"**
**If `unblocked > 1`** (batch option available — 4 options):
Options: 1. **Pick from backlog** (Recommended) — Browse [unblocked] unblocked features from the greenfield pipeline 2. **Batch plan ([unblocked]
Showing the first part of this file.
Arness — H not required. Structured AI workflows for Claude Code. From first idea to production deploy. Seven entry commands. That's all you need to remember.
Repo: AppsVortex/arness
Other skills on arness.
- /arn-assessing
This skill should be used when the user says "assessing", "arness assessing", "assess", "assess codebase", "technical review", "codebase assessment", "find improvements", "what should I improve", "tech debt review", "pattern compliance check", "codebase health check",
Open skill - /arn-code-assess
This skill should be used when the user says "arness code assess", "arn-code-assess", "assess codebase", "technical review", "codebase assessment", "find improvements", "what should I improve", "tech debt review", "tech debt audit", "pattern compliance check", "codebase health
Open skill - /arn-code-batch-cve-fix
This skill should be used when the user says "fix CVEs", "patch vulnerabilities", "apply security patches", "resolve security advisories", "batch CVE fix", "patch dependencies", "fix security findings", "remediate CVEs", "apply CVE fixes", "batch fix vulnerabilities", "resolve
Open skill - /arn-code-batch-cve-scan
This skill should be used when the user says "scan for CVEs", "CVE scan", "check for vulnerabilities", "find vulnerabilities", "check security advisories", "dependabot triage", "dependabot scan", "scan dependencies for security issues", "audit dependencies", "vulnerability
Open skill - /arn-code-batch-implement
This skill should be used when the user says "batch implement", "implement all", "batch execution", "implement all features", "parallel implement", "implement in parallel", "arness batch implement", "arn-code-batch-implement", "run batch implementation", "implement everything",
Open skill - /arn-code-batch-merge
This skill should be used when the user says "batch merge", "merge batch", "arness batch merge", "arn-code-batch-merge", "merge all PRs", "merge batch PRs", "merge the batch", "merge implemented features", "batch merge PRs", "merge open PRs", "merge all feature PRs", "combine
Open skill

