canonical_facts
Reconcile the plan's key numbers and dates into one canonical fact table that every later stage must use.
Skill by PlanExeOrg
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-canonical-facts
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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/canonical-facts
What's inside
- Skill name
canonical_facts- Description
- Reconcile the plan's key numbers and dates into one canonical fact table that every later stage must use.
- License
- MIT
- Instructions
- 17 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 (5)
- SKILL.md
- system.md · prompts/
- verify.md · prompts/
- run.py
- schema.json
SKILL.md (first lines)
Not part of the original PlanExe pipeline. Added after the Codex review of the datacenter run: stages invented their own values for the same quantity (RTE gate 250/300/500 MW, tenant price vs power cost, permit timing, remediation thresholds), and a final consistency check could only report that. Runs right before project_plan, so the project plan (which most later stages build on) is written from the facts. One reasoning call reads the user's prompt, strategic decisions, scenarios, assumptions and the pre-project assessment, resolves conflicts and returns 15-40 canonical facts (snake_case key, value with unit, kind, basis). Every later LLM stage declares `canonical_facts.json` as an input; the runtime then adds the table to its system prompt with the rule to use these values and not introduce different ones (`planexe_skill/context.py`). History: first placed after project_plan; a full datacenter run then showed later stages siding with the unreconciled project plan (e.g. FID at Month 12 vs canonical Month 24), so it moved before it. A second reasoning call (`prompts/verify.md`) recomputes the table's arithmetic and removes internal conflicts (e.g. a reserve counted inside and outside the contingency) before any later stage uses it.
From PlanExeOrg/PlanExe2, MIT.
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- 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
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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
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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
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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.
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create_schedule
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Turn the WBS + task durations into a waterfall schedule; export the interactive DHTMLX Gantt HTML and a CSV.
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create_wbs_level1
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Extract the project title and final deliverable (WBS Level 1) from the project plan.
SkillAFreshness: A★ 6Claude Code +9 - 0.607score
currency_strategy
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Choose the project currency based on physical locations and cross-border needs.
SkillAFreshness: A★ 6Claude Code +9 - 0.607score
distill_assumptions
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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
classify_domain
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Identify the expert disciplines the project involves, then pick a primary domain and up to 3 secondaries.
SkillAFreshness: A★ 6Claude Code +9
Signals
- Stars
- 6
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 5, 2026 (23 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
More from PlanExeOrg
- 0.686score
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MCP server for generating rough-draft project plans from natural-language prompts.
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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
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
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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
Cite this page
canonical_facts skill. Agent Mart. https://agentmart.dev/skills/planexeorg-canonical-facts (last updated 2026-10-24)