Ralplan
Yeachan-Heo/oh-my-claudecode
Consensus planning entrypoint that auto-gates vague ralph/autopilot/team requests before execution
“[OMX] Alias for $plan --consensus”
$ npx skills add yangyuan-zhen/PolyWeather --skill ralplan -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install yangyuan-zhen/PolyWeather ralplan --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/yangyuan-zhen/PolyWeather.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/ralplan .claude/skills/ralplan && rm -rf skills-srcUse ~/.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/
Install the "ralplan" agent skill from https://github.com/yangyuan-zhen/PolyWeather/tree/main/.codex/skills/ralplan into .claude/skills/ralplan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralplan", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/yangyuan-zhen/PolyWeather/tree/main/.codex/skills/ralplanType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add yangyuan-zhen/PolyWeather --skill ralplan -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install yangyuan-zhen/PolyWeather ralplan --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yangyuan-zhen/PolyWeather.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/ralplan .agents/skills/ralplan && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ralplan" agent skill from https://github.com/yangyuan-zhen/PolyWeather/tree/main/.codex/skills/ralplan into .agents/skills/ralplan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralplan", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add yangyuan-zhen/PolyWeather --skill ralplan -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install yangyuan-zhen/PolyWeather ralplan --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yangyuan-zhen/PolyWeather.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/ralplan .cursor/skills/ralplan && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ralplan" agent skill from https://github.com/yangyuan-zhen/PolyWeather/tree/main/.codex/skills/ralplan into .cursor/skills/ralplan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralplan", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/yangyuan-zhen/PolyWeather.git --path .codex/skills/ralplan--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add yangyuan-zhen/PolyWeather --skill ralplan -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install yangyuan-zhen/PolyWeather ralplan --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yangyuan-zhen/PolyWeather.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/ralplan .gemini/skills/ralplan && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ralplan" agent skill from https://github.com/yangyuan-zhen/PolyWeather/tree/main/.codex/skills/ralplan into .gemini/skills/ralplan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralplan", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install yangyuan-zhen/PolyWeather ralplanInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add yangyuan-zhen/PolyWeather --skill ralplan -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/yangyuan-zhen/PolyWeather.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/ralplan .github/skills/ralplan && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ralplan" agent skill from https://github.com/yangyuan-zhen/PolyWeather/tree/main/.codex/skills/ralplan into .github/skills/ralplan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralplan", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add yangyuan-zhen/PolyWeather --skill ralplan -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install yangyuan-zhen/PolyWeather ralplan --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yangyuan-zhen/PolyWeather.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/ralplan .opencode/skills/ralplan && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ralplan" agent skill from https://github.com/yangyuan-zhen/PolyWeather/tree/main/.codex/skills/ralplan into .opencode/skills/ralplan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralplan", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
ralplanRalplan is a skill in yangyuan-zhen/PolyWeather (316 stars). Its SKILL.md is about 4.7k tokens. Licence: AGPL-3.0.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 43e658b. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
makeFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Ralplan loads about 4.7k tokens when it runs. Until then it costs about 10 tokens; SKILL.md has 2,366 words of instructions outside code blocks.
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.
The automated check found no risky patterns in SKILL.md.
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.
The full file from yangyuan-zhen/PolyWeather at commit 43e658b, republished under its AGPL-3.0 licence (© yangyuan-zhen). 2,366 words, ~4,716 tokens.
.claude/skills/ralplan/SKILL.md (or your agent's skills folder).Ralplan is a shorthand alias for $plan --consensus. It drives Planner, Architect, and Critic planning and records their review lifecycle with RALPLAN-DR structured deliberation (short mode by default, deliberate mode for high-risk work). That local lifecycle never authorizes an execution handoff: an official host-issued receipt verified through a documented non-user-mintable host surface is required. Scholastic is an advisory native agent/persona for ontology-heavy planning evidence, not part of the lifecycle.
$ralplan "task description"--interactive: Enables user prompts at key decision points (draft review in step 2 and final approval in step 6). Without this flag the workflow runs fully automated — Planner → Architect → Critic loop — and outputs the final plan without asking for confirmation.--deliberate: Forces deliberate mode for high-risk work. Adds pre-mortem (3 scenarios) and expanded test planning (unit/integration/e2e/observability). Without this flag, deliberate mode can still auto-enable when the request explicitly signals high risk (auth/security, migrations, destructive changes, production incidents, compliance/PII, public API breakage).For requirements semantics, taxonomy, prompt/spec design, policy distinctions, or category-risk architecture, subagent Scholastic may be cited as an available advisory ontology reviewer/persona. Its findings can inform the plan or follow-up evidence when explicitly used, but $ralplan itself records Architect→Critic lifecycle evidence only; neither those reviews nor Scholastic evidence is a durable execution authorization.
$ralplan --interactive "task description"Use the shared workflow guidance pattern: outcome-first framing, concise visible updates for multi-step planning, local overrides for the active workflow branch, evidence-backed planning and validation expectations, explicit stop rules, right-sized implementation/PRD shape, and automatic continuation for safe reversible steps. Ask only for material, destructive, credentialed, external-production, or preference-dependent branches.
This skill invokes the Plan skill in consensus mode:
$plan --consensus <arguments>
$plan --consensus --interactive <arguments>The consensus workflow:
[main] vs [planner] behavior: standalone $ralplan may be authored by the active main planning lane unless the caller/runtime supplies a dedicated planner routing record; inside $autopilot, state field planning_routing.owner:"planner" means the initial Planner draft/decomposition must use dedicated [planner]. Set .omx-config.json agentModels.planner to opt into a specific planner model and force dedicated planner ownership for complex Autopilot planning even when [main] is not cheap/mini. The RALPLAN-DR summary includes:--interactive is set, use the structured question UI (omx question in attached tmux; native structured input outside tmux when available) to present the draft plan plus the Principles / Drivers / Options summary before review (Proceed to review / Request changes / Skip review). Otherwise, automatically proceed to review.
Native role-routing preflight: Keyword routing may already have selected Ralplan, but it is not authority. Run omx ralplan preflight --json only when the native task surface reports role_routing_unavailable and this workflow attempts adapted Ralplan Planner, Architect, or Critic authority, adapted role-intent, or adapted consensus authority. On unsupported_documented_leader_proof, stop before that adapted authority and use a Codex surface with documented root proof or a reviewed alternative workflow. Do not infer root identity from session_id, undocumented thread_id, session/pointer/transcript/cwd state, absence of child data, or a prompt label. Ordinary native planning, lifecycle, state, status, health, HUD, runtime, setup, install, sync, and unrelated delegation are outside this preflight boundary and remain governed by existing controls.Native role-routing rule: When the native surface exposes agent_type role routing, set agent_type to an installed OMX role and never omit it for OMX work. When it does not (role_routing_unavailable), do not fabricate agent_type. On the exact reviewed Codex releases 0.144.5, 0.145.0, 0.146.1, and 0.148.0-alpha.5, adapted Ralplan Planner, Architect, Critic, role-intent, and consensus authority are unavailable because they lack documented root proof; every other version remains unknown and fails closed. Do not silently weaken routing with a prompt role label or inferred carrier. Use a Codex surface with documented root proof or a reviewed alternative workflow for that authority. A direct omx ralplan role-intent write attempt is denied with machine reason unsupported_documented_leader_proof.
Architect subagent and pass the full task statement, context snapshot, PRD/test-spec paths, and relevant prior findings; do not substitute an unvalidated reviewer identity or a short improvised reviewer prompt. In deliberate mode, Architect should explicitly flag principle violations.Critic subagent with the full task statement, context snapshot, PRD/test-spec paths, and the completed Architect review; do not ask the Architect subagent to perform the Critic gate and do not substitute an unvalidated reviewer identity or a short improvised reviewer prompt. Critic must enforce principle-option consistency, fair alternatives, risk mitigation clarity, testable acceptance criteria, and concrete verification steps. In deliberate mode, Critic must reject missing/weak pre-mortem or expanded test plan.APPROVE Critic verdict (ITERATE or REJECT) MUST run the same full closed loop:
a. Collect Architect and Critic feedback
b. Revise the plan with Planner
c. Return to Architect review
d. Return to Critic evaluation
e. Repeat this loop until Critic returns APPROVE or 5 iterations are reached
f. If 5 iterations are reached without APPROVE, present the best version to the user$ultragoal, $team, $ralph, or another implementation lane without a verified official host receipt.ralplan_consensus_gate.complete:false and blocked_reason:"documented_host_consensus_receipt_unavailable". Report the host blocker and stop rather than implementing directly.Important: Steps 3 and 4 MUST run sequentially as role-specific subagents. Do NOT issue both agent calls in the same parallel batch. Always await the subsequent
Architectresult before invoking the subsequentCritic; their completed approvals establish local lifecycle evidence only and cannot satisfy the durable execution gate.
$ralplan is a planning mode. While ralplan is active and no explicit execution handoff is active, implementation-focused write tools are out of scope. Ralplan may inspect the repository and may write only planning artifacts such as .omx/context/, .omx/plans/, .omx/specs/, and required .omx/state/ records.
The canonical flow is:
$ralplan -> local Architect→Critic lifecycle evidence -> verified official host receipt -> explicit execution lane -> $ultragoal | $team | $ralphBefore any execution lane begins, ralplan must emit terminal planning state (complete, paused, failed, or waiting for input) and the durable handoff record below. Do not continue from consensus planning into direct code edits in the same ralplan session.
Ralplan is not complete, skippable, or ready for execution merely because .omx/plans/prd-*.md and .omx/plans/test-spec-*.md exist. Those files are planning artifacts, not consensus evidence.
Before any Autopilot, Pipeline, Ultragoal, Team, Ralph, or implementation handoff, persist a durable handoff record that distinguishes:
planning_artifacts: PRD/test-spec paths.ralplan_architect_review: the completed Architect review with an approving verdict.ralplan_critic_review: the completed Critic review with an approving verdict, recorded only after the Architect review.ralplan_consensus_gate.complete:true only after an official host-issued receipt is verified through a documented non-user-mintable host surface. Architect/Critic reviews, trackers, artifacts, and local receipt-shaped fields remain lifecycle or trace evidence only; until the verifier exists, persist complete:false with blocked_reason:"documented_host_consensus_receipt_unavailable".If Architect is missing/blocked, keep the workflow in Architect review or report that blocker. If Critic is missing/blocked/non-approving, keep the workflow in Critic/re-review or report the max-iteration outcome. Even after both reviews approve, they complete only the local review lifecycle; do not start execution until an official host receipt verifier authorizes the transition. Existing plan/test-spec files and local review artifacts are never permission to skip ralplan or execute.
Follow the Plan skill's full documentation for consensus mode details.
When a verified official host receipt permits an execution handoff, include product-facing goal-mode suggestions alongside the existing Ralph and team options. Until then, record any requested lane as non-executing planning guidance and keep ralplan_consensus_gate.complete:false with blocked_reason:"documented_host_consensus_receipt_unavailable".
$ultragoal — default goal-mode follow-up for implementation or general goal-oriented follow-up plans that should become durable Codex/OMX goals with sequential completion tracking.$autoresearch-goal — research-project follow-up when the plan centers on a question, literature/reference gathering, evaluator-backed research, or a professor/critic-style research deliverable.$performance-goal — optimization/performance follow-up when the plan centers on speed, latency, throughput, memory, benchmark, or other measurable performance work.Keep $team as a first-class execution option and keep $ralph available only as an explicit fallback where appropriate: use Ultragoal as the default durable goal-mode follow-up, Team for coordinated parallel implementation, and Ralph only for intentionally selected persistent single-owner completion/verification pressure. For parallelizable durable-goal delivery, recommend $ultragoal + $team together: Ultragoal remains the leader-owned .omx/ultragoal ledger/Codex-goal wrapper while Team runs parallel lanes and returns checkpoint-ready evidence. Do not present Ralph as the recommended follow-up when durable goal tracking is needed; present Ultragoal as the superseding default, with Team for parallel delivery and Ralph only as an explicit fallback when its narrow persistence loop is specifically desired.
Use the available-agent-types roster to produce explicit role/staffing allocation, reasoning-by-lane guidance, concrete launch hints (including omx team when parallel delivery is justified), and team verification responsibilities for any future receipt-authorized execution path.
Before consensus planning or execution handoff, ensure a grounded context snapshot exists:
.omx/context/{slug}-*.md when available..omx/context/{slug}-{timestamp}.md (UTC YYYYMMDDTHHMMSSZ) with:omx explore is deprecated; use normal repository inspection tools/subagents for simple read-only repository lookups and omx sparkshell only for explicit shell-native read-only evidence. Then run $deep-interview --quick <task> before continuing.$best-practice-research as the bounded evidence wrapper and auto-delegate researcher for the official/upstream lookup before finalizing the planning handoff so execution does not start from repo-local recall alone.$autoresearch or $autoresearch-goal run exists, treat its approved artifact as evidence for the plan. Do not include Autoresearch as a final architecture or runtime component unless the user explicitly requested ongoing research automation; otherwise synthesize the evidence into the $ralplan ADR, risks, and verification steps.Do not hand off to execution modes until this intake is complete; if urgency forces progress, explicitly document the risk tradeoffs.
Execution modes (ralph, autopilot, team, ultrawork) spin up heavy multi-agent orchestration. When launched on a vague request like "ralph improve the app", agents have no clear target — they waste cycles on scope discovery that should happen during planning, often delivering partial or misaligned work that requires rework.
The ralplan-first gate intercepts underspecified execution requests and redirects them through the ralplan consensus planning workflow. This ensures:
Passes the gate (specific enough for direct execution):
ralph fix the null check in src/hooks/bridge.ts:326autopilot implement issue #42team add validation to function processKeywordDetectorralph do:\n1. Add input validation\n2. Write tests\n3. Update READMEultrawork add the user model in src/models/user.tsGated — redirected to ralplan (needs scoping first):
ralph fix thisautopilot build the appteam improve performanceralph add authenticationultrawork make it betterBypass the gate (when you know what you want):
force: ralph refactor the auth module! autopilot optimize everythingThe gate auto-passes when it detects any concrete signal. You do not need all of them — one is enough:
| Signal Type | Example prompt | Why it passes |
|---|---|---|
| File path | ralph fix src/hooks/bridge.ts | References a specific file |
| Issue/PR number | ralph implement #42 | Has a concrete work item |
| camelCase symbol | ralph fix processKeywordDetector | Names a specific function |
| PascalCase symbol | ralph update UserModel | Names a specific class |
| snake_case symbol | team fix user_model | Names a specific identifier |
| Test runner | ralph npm test && fix failures | Has an explicit test target |
| Numbered steps | ralph do:\n1. Add X\n2. Test Y | Structured deliverables |
| Acceptance criteria | ralph add login - acceptance criteria: ... | Explicit success definition |
| Error reference | ralph fix TypeError in auth | Specific error to address |
| Code block | ralph add: \``ts ... ```` | Concrete code provided |
| Escape prefix | force: ralph do it or ! ralph do it | Explicit user override |
ralph add user authenticationralph) + underspecified prompt (no files, functions, or test spec)ralplan_consensus_gate.complete:false with blocked_reason:"documented_host_consensus_receipt_unavailable" and report the host blocker.| Issue | Solution |
|---|---|
| Gate fires on a well-specified prompt | Add a file reference, function name, or issue number to anchor the request |
| Want to bypass the gate | Prefix with force: or ! (e.g., force: ralph fix it) |
| Gate does not fire on a vague prompt | The gate only catches prompts with <=15 effective words and no concrete anchors; add more detail or use $ralplan explicitly |
| Redirected to ralplan but want to skip planning | In the ralplan workflow, say "just do it" or "skip planning" to transition directly to execution |
Good: The user says continue after the workflow already has a clear next step. Continue the current branch of work instead of restarting or re-asking the same question.
Good: The user changes only the output shape or downstream delivery step (for example make a PR). Preserve earlier non-conflicting workflow constraints and apply the update locally.
Bad: The user says continue, and the workflow restarts discovery or stops before the missing verification/evidence is gathered.
© yangyuan-zhen, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .codex/skills/ralplan of yangyuan-zhen/PolyWeather.
Open the folder on GitHubat commit 43e658b
Ralplan 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ralplan this skillyangyuan-zhen/PolyWeather | 316 | — | ~4.7k | Automated safety check: Pass | AGPL-3.0 | |
| RalplanYeachan-Heo/oh-my-claudecode | 40k | — | ~2.7k | Automated safety check: Pass | MIT | |
| Ralplan Consensus PlanningYeachan-Heo/gajae-code | 2.9k | — | ~8.5k | Automated safety check: Pass | MIT | |
| Agent Consensus Coordinatorruvnet/ruflo | 74k | 2 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Ralplanzereight/gitlab-mcp | 2k | 1 repos | ~365 | Automated safety check: Pass | MIT | |
| Bio Consensus SequencesFreedomIntelligence/OpenClaw-Medical-Skills | 3.1k | 1 repos | ~2.2k | Automated safety check: Pass | None |
Yeachan-Heo/oh-my-claudecode
Consensus planning entrypoint that auto-gates vague ralph/autopilot/team requests before execution
Yeachan-Heo/gajae-code
Shorthand for oh-my-claudecode's consensus planning, where Planner, Architect and Critic agents iterate on a plan before any execution begins.
ruvnet/ruflo
Agent skill for consensus-coordinator - invoke with $agent-consensus-coordinator
zereight/gitlab-mcp
Consensus planning with Planner/Architect/Critic iterative loop.
FreedomIntelligence/OpenClaw-Medical-Skills
Generate consensus FASTA sequences by applying VCF variants to a reference using bcftools consensus.
mvanhorn/printing-press-library
Aggregate PubMed, OpenAlex, Crossref, and Europe PMC into evidence summaries, consensus scores Trigger phrases: what does the evidence say about, scientific consensus on, is there consensus that…
yangyuan-zhen/PolyWeather
[OMX] Run an anti-slop cleanup/refactor/deslop workflow. An agent skill from yangyuan-zhen/PolyWeather.
yangyuan-zhen/PolyWeather
[OMX] Run read-only deep repository analysis and return a ranked synthesis with explicit confidence, concrete file references, and clear evidence-vs-inference boundaries.
yangyuan-zhen/PolyWeather
[OMX] Stateful validator-gated research loop with native-hook persistence
yangyuan-zhen/PolyWeather
[OMX] Bounded best-practice research wrapper using official/upstream evidence first
yangyuan-zhen/PolyWeather
[OMX] Cancel any active OMX mode (autopilot, ralph, ultrawork, ecomode, ultraqa, swarm, ultrapilot, pipeline, team)
yangyuan-zhen/PolyWeather
[OMX] Configure OMX notifications - unified entry point for all platforms
Run `npx skills add yangyuan-zhen/PolyWeather --skill ralplan -a claude-code`. Or copy the skill folder (.codex/skills/ralplan in yangyuan-zhen/PolyWeather) into .claude/skills/ralplan in your project. Claude Code loads it when a task matches its description.
Run `npx skills add yangyuan-zhen/PolyWeather --skill ralplan -a codex`. Or copy the skill folder (.codex/skills/ralplan in yangyuan-zhen/PolyWeather) into .agents/skills/ralplan in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add yangyuan-zhen/PolyWeather --skill ralplan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ralplan, .gemini/skills/ralplan, .github/skills/ralplan and .opencode/skills/ralplan in your project.
Going by SKILL.md and its folder, Ralplan needs the command-line tools its instructions call (make).
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.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Ralplan is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.7k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Ralplan: Ralplan (Yeachan-Heo/oh-my-claudecode, 40k stars), Ralplan Consensus Planning (Yeachan-Heo/gajae-code, 2.9k stars), Agent Consensus Coordinator (ruvnet/ruflo, 74k stars) and Ralplan (zereight/gitlab-mcp, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
yangyuan-zhen (a GitHub user) maintains it in yangyuan-zhen/PolyWeather, which has 316 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on September 20, 2026.
Source: yangyuan-zhen/PolyWeather on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.