classify_domain
Identify the expert disciplines the project involves, then pick a primary domain and up to 3 secondaries.
Skill by PlanExeOrg
Chalk Labs
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Install
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/planexeorg-classify-domain
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
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 26, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/classify-domain
What's inside
- Skill name
classify_domain- Description
- Identify the expert disciplines the project involves, then pick a primary domain and up to 3 secondaries.
- License
- MIT
- Instructions
- 13 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- name: only lowercase letters, digits and single hyphens allowed
Files (8)
- SKILL.md
- primary_select.md · prompts/
- system_business.md · prompts/
- system_other.md · prompts/
- system_personal.md · prompts/
- run.py
- schema_fits.json
- schema_primary.json
SKILL.md (first lines)
Two passes. 1. Candidate generation: up to 3 batched calls (system prompt `prompts/system_<purpose>.md`, schema `schema_fits.json`), 3 candidates per batch, until 9 distinct candidates. User message = plan.txt + "Plan purpose" + "Extracted constraints" sections. Cleanup in code: normalize labels, drop purpose-tag labels (business/personal/other, and the profit_motive tags such as business_other or non-profit), duplicates and 1x1 (importance=1, specificity=1) fits, clamp Likert scores to 1..5. An empty first batch means the prompt is too vague -> "Unclear". 2. Primary selection: one call (`prompts/primary_select.md`, `schema_primary.json`) choosing the index of the primary candidate. Falls back to a deterministic ranking on failure. Secondaries = first 3 other candidates in document order.
From PlanExeOrg/PlanExe2, MIT.
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make-plan
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Turn a user's planning idea into a strong PlanExe2 prompt through a short interview, check it, confirm with the user, then launch the full plan-generation DAG.
SkillAFreshness: A★ 6Claude Code +9 - 0.615score
decision_register
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Turn the decisions the plan cannot make by itself into a register a human can act on (options, downstream consequences, owner, decide-by month), and list the…
SkillAFreshness: A★ 6Claude Code +9 - 0.610score
arithmetic_check
PlanExeOrg
Deterministically re-compute every explicit calculation written in the report's documents ("a x b = c", "a + b = c", ranges, percents) and list the ones whose…
SkillAFreshness: A★ 6Claude Code +9 - 0.610score
consistency_repair
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Fix the documents named by consistency_review's high/medium diagnostics so they agree with the canonical facts (exact find/replace edits), writing repaired…
SkillAFreshness: A★ 6Claude Code +9 - 0.610score
consistency_review
PlanExeOrg
Final cross-report pass.
SkillAFreshness: A★ 6Claude Code +9 - 0.607score
create_pitch
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Create a compelling project pitch with target audience, call to action, and risk mitigation.
SkillAFreshness: A★ 6Claude Code +9 - 0.607score
create_schedule
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Turn the WBS + task durations into a waterfall schedule; export the interactive DHTMLX Gantt HTML and a CSV.
SkillAFreshness: A★ 6Claude Code +9 - 0.607score
create_wbs_level1
PlanExeOrg
Extract the project title and final deliverable (WBS Level 1) from the project plan.
SkillAFreshness: A★ 6Claude Code +9 - 0.607score
currency_strategy
PlanExeOrg
Choose the project currency based on physical locations and cross-border needs.
SkillAFreshness: A★ 6Claude Code +9 - 0.607score
distill_assumptions
PlanExeOrg
Condense verbose assumptions into concise, strategically important ones.
SkillAFreshness: A★ 6Claude Code +9 - 0.607score
candidate_scenarios
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Generate aggressive, moderate, and conservative scenarios from the vital few levers.
SkillAFreshness: A★ 6Claude Code +9 - 0.607score
canonical_facts
PlanExeOrg
Reconcile the plan's key numbers and dates into one canonical fact table that every later stage must use.
SkillAFreshness: A★ 6Claude Code +9
Signals
- Stars
- 6
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 11, 2026 (19 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/PlanExeOrg/PlanExe2
- Website
- planexe.org/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.686score
PlanExe
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MCP server for generating rough-draft project plans from natural-language prompts.
ConnectorAFreshness: ARemoteDown★ 402Claude Code +3 - 0.622score
make-plan
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Turn a user's planning idea into a strong PlanExe2 prompt through a short interview, check it, confirm with the user, then launch the full plan-generation DAG.
SkillAFreshness: A★ 6Claude Code +9 - 0.615score
decision_register
PlanExeOrg
Turn the decisions the plan cannot make by itself into a register a human can act on (options, downstream consequences, owner, decide-by month), and list the…
SkillAFreshness: A★ 6Claude Code +9 - 0.610score
arithmetic_check
PlanExeOrg
Deterministically re-compute every explicit calculation written in the report's documents ("a x b = c", "a + b = c", ranges, percents) and list the ones whose…
SkillAFreshness: A★ 6Claude Code +9 - 0.610score
consistency_review
PlanExeOrg
Final cross-report pass.
SkillAFreshness: A★ 6Claude Code +9 - 0.610score
consistency_repair
PlanExeOrg
Fix the documents named by consistency_review's high/medium diagnostics so they agree with the canonical facts (exact find/replace edits), writing repaired…
SkillAFreshness: A★ 6Claude Code +9
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Cite this page
classify_domain skill. Agent Mart. https://agentmart.dev/skills/planexeorg-classify-domain (last updated 2026-10-24)