Geo Proposal
sickn33/agentic-awesome-skills
Auto-generate a professional, client-ready GEO service proposal from audit data.
Separates the outcome a change must produce from the requirements proposed to reach it, records what the user excluded, and bands cost from structure.
$ npx skills add shinpr/claude-code-workflows --skill requirement-convergence -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install shinpr/claude-code-workflows requirement-convergence --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/shinpr/claude-code-workflows.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/requirement-convergence .claude/skills/requirement-convergence && 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 "requirement-convergence" agent skill from https://github.com/shinpr/claude-code-workflows/tree/main/skills/requirement-convergence into .claude/skills/requirement-convergence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "requirement-convergence", 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/shinpr/claude-code-workflows/tree/main/skills/requirement-convergenceType 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 shinpr/claude-code-workflows --skill requirement-convergence -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install shinpr/claude-code-workflows requirement-convergence --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shinpr/claude-code-workflows.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/requirement-convergence .agents/skills/requirement-convergence && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "requirement-convergence" agent skill from https://github.com/shinpr/claude-code-workflows/tree/main/skills/requirement-convergence into .agents/skills/requirement-convergence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "requirement-convergence", 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 shinpr/claude-code-workflows --skill requirement-convergence -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install shinpr/claude-code-workflows requirement-convergence --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shinpr/claude-code-workflows.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/requirement-convergence .cursor/skills/requirement-convergence && 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 "requirement-convergence" agent skill from https://github.com/shinpr/claude-code-workflows/tree/main/skills/requirement-convergence into .cursor/skills/requirement-convergence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "requirement-convergence", 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/shinpr/claude-code-workflows.git --path skills/requirement-convergence--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 shinpr/claude-code-workflows --skill requirement-convergence -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install shinpr/claude-code-workflows requirement-convergence --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shinpr/claude-code-workflows.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/requirement-convergence .gemini/skills/requirement-convergence && 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 "requirement-convergence" agent skill from https://github.com/shinpr/claude-code-workflows/tree/main/skills/requirement-convergence into .gemini/skills/requirement-convergence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "requirement-convergence", 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 shinpr/claude-code-workflows requirement-convergenceInstalls 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 shinpr/claude-code-workflows --skill requirement-convergence -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/shinpr/claude-code-workflows.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/requirement-convergence .github/skills/requirement-convergence && 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 "requirement-convergence" agent skill from https://github.com/shinpr/claude-code-workflows/tree/main/skills/requirement-convergence into .github/skills/requirement-convergence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "requirement-convergence", 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 shinpr/claude-code-workflows --skill requirement-convergence -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install shinpr/claude-code-workflows requirement-convergence --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shinpr/claude-code-workflows.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/requirement-convergence .opencode/skills/requirement-convergence && 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 "requirement-convergence" agent skill from https://github.com/shinpr/claude-code-workflows/tree/main/skills/requirement-convergence into .opencode/skills/requirement-convergence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "requirement-convergence", 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.
requirement-convergenceSeparates the outcome a change must produce from the requirements proposed to reach it, records what the user excluded, and bands cost from structure.
Requirement Convergence is an agent skill from shinpr/claude-code-workflows. Separates the outcome a change must produce from the requirements proposed to reach it, records what the user excluded, and bands cost from structure. Use when a requirement enters a workflow, before design begins.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/criteria.md`).
The repository describes itself as: Development workflows for Claude Code that keep broad exploration focused on the outcome you approved. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit a4ecd62. 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.
No scripts in the folder and no shell commands in SKILL.md.
From 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.
Requirement Convergence loads about 1.5k tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 60 tokens; SKILL.md has 820 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 shinpr/claude-code-workflows at commit a4ecd62, republished under its MIT licence (© shinpr). 820 words, ~1,525 tokens.
.claude/skills/requirement-convergence/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Requirements arrive bloated, ambiguous, or aimed at the wrong outcome. A capable model reconciles all three into a coherent plan and builds it faithfully — delivering exactly what was asked for when what was asked for was wrong.
This skill converges what to build. How to build it, and which documents the change requires, are settled after the what is.
| Field | Pass condition |
|---|---|
outcome | One observable result. A requirement that does not serve it is excess. |
requirements[] | Every build-relevant item labeled current-state or desired-future. |
nonGoals[] | Authored by the user, or the user stated there are none. |
cost | A band with the structural evidence that places it, plus the unknowns that remain. |
cost is a rough band, not the effort estimate a work plan schedules against; requirements cannot support person-days. Its unknowns carry more decision weight than its size.
Classify from the user's own retained wording, not from an analyzer's restatement of it: wording that asks for an evaluation, describes a speculative idea, or suggests a mechanism stays in active convergence context as a judgment-only candidate. requirements[] and durable documents receive a candidate only after explicit user confirmation.
Each field carries a readiness label: ready, weak, or weak-but-explicit (weak, and the user agreed to leave it unresolved). Only the user sets weak-but-explicit. Requirements are converged when every applicable field is ready or weak-but-explicit.
Judgment rules per field: references/criteria.md.
Run the hearing after scope analysis has produced the facts needed to judge the convergence fields. The workflow using this skill owns the interaction method and routing; this skill defines the hearing content and pass conditions.
Register these steps before starting and record each step's evidence as it completes:
| Step | Action | Completion evidence |
|---|---|---|
| 1 | Render the Scope Confirmation below, asking only about the fields below ready | Each fact cites the analysis output it came from, and User decisions holds one question per field below ready |
| 2 | Record each answer as that field's value | The value uses wording the user supplied, not wording the hearing offered |
| 3 | Re-ask once when a recorded value still fails its pass condition, then mark the field weak-but-explicit when the user agrees to leave the second answer as it stands | Two recorded answers, or the user's agreement to stop |
| 4 | Hand the record to the step that judges the fields | An updated record returned from that step |
Step 2's evidence is what keeps the hearing reviewable: a value restating the hearing's own candidates fails it, so the user's judgment survives however the question was put.
Render this shape at every requirements confirmation stop, whether or not the hearing ran, using only what can change the user's requirement decision or the workflow route.
| Section | Contents |
|---|---|
| Confirmed scope | The requirements and exclusions the user has already selected, in the user's wording |
| Decision evidence | Each material observed fact with its source, followed by what that fact can change about scope, outcome, or cost |
| User decisions | Each unresolved product, UX, or operational question, followed by the scope, outcome, or cost effects of its materially different answers |
| Workflow | Rough cost band with the unknowns that remain, Structural Scale, and the selected document and workflow route |
Keeping the first three sections separate is what makes the decision informable: merged, the reader cannot tell which line is the user's own settled boundary, which is a repository observation, and which is still open.
Only an explicit user answer moves an item from User decisions into Confirmed scope. Because Step 2 records the user's own wording, pose each open decision as a question and let the user supply its answer. The orchestrator owns Workflow and presents it as a selected route.
| Carrier | Holds | Written by |
|---|---|---|
| The convergence record in the judging step's output | Every field with its readiness label | The judging step |
PRD Success Criteria and Future / Out of Scope | outcome; user-authored nonGoals | The PRD production step |
Design Doc Requirement Convergence | The same when no PRD exists, and the fields left weak-but-explicit in every case | The Design Doc production step |
A flow that produces neither document carries the record in its own context to the next step.
nonGoals as excluded from the current change and desired-future requirements as buildable scope. Evaluation requests, speculative ideas, prescribed mechanisms, and agent-proposed capabilities that were not promoted create no downstream obligation; an accepted ADR may retain evaluated options as decision history.weak-but-explicit field as a recorded open question rather than a settled decision. When work depends on it, return the missing decision and its effect to the owning workflow.nonGoals came from the user, or the user stated there are noneready, or weak-but-explicit by the user's agreement© shinpr, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in skills/requirement-convergence of shinpr/claude-code-workflows.
Open the folder on GitHubat commit a4ecd62
Requirement Convergence 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 |
|---|---|---|---|---|---|---|
| Requirement Convergence this skillshinpr/claude-code-workflows | 694 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Geo Proposalsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Requirement Convergenceshinpr/ai-coding-project-boilerplate | 234 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Better Proposals AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~764 | Automated safety check: Pass | None | |
| Requirementsrizsotto/Bear | 6.5k | — | ~2k | Automated safety check: Pass | GPL-3.0 | |
| Contract And Proposal Writeralirezarezvani/claude-skills | 28k | 2 repos | ~3.4k | Automated safety check: Pass | MIT |
sickn33/agentic-awesome-skills
Auto-generate a professional, client-ready GEO service proposal from audit data.
shinpr/ai-coding-project-boilerplate
Separates the outcome a change must produce from the requirements proposed to reach it, records what the user excluded, and bands cost from structure.
ComposioHQ/awesome-claude-skills
Automate Better Proposals tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.
rizsotto/Bear
Write, modify, or review a requirement file under docs/requirements -- pick the single owning file, keep the text contract-only, name IDs so they need no explanation, and verify cross-references and…
alirezarezvani/claude-skills
Generate professional, jurisdiction-aware business documents: freelance contracts, project proposals, SOWs, NDAs, and MSAs.
Chorus-AIDLC/Chorus
Chorus Proposal workflow on Hermes — create proposals with document and task drafts, manage dependency DAG, validate, submit, and run the read-only proposal reviewer via delegatetask.
shinpr/claude-code-workflows
Integration and E2E test design principles, ROI calculation, test skeleton specification, and review criteria.
shinpr/claude-code-workflows
Applies language-agnostic and backend technical decision criteria, anti-pattern detection, debugging, and quality gates.
shinpr/claude-code-workflows
Applies React/TypeScript-specific technical decision criteria, anti-pattern detection, debugging, and frontend quality gates.
shinpr/claude-code-workflows
Implementation strategy selection framework. An agent skill from shinpr/claude-code-workflows.
shinpr/claude-code-workflows
Proposes repository-specific quality policy for implementation and review and, after confirmation, creates or updates docs/project-context/quality.yaml.
shinpr/claude-code-workflows
Guides subagent coordination through implementation workflows.
Separates the outcome a change must produce from the requirements proposed to reach it, records what the user excluded, and bands cost from structure. Requirement Convergence is an agent skill from shinpr/claude-code-workflows. Separates the outcome a change must produce from the requirements proposed to reach it, records what the user excluded, and bands cost from structure.
Requirement Convergence fits situations like: A requirement enters a workflow; before design begins.
Run `npx skills add shinpr/claude-code-workflows --skill requirement-convergence -a claude-code`. Or copy the skill folder (skills/requirement-convergence in shinpr/claude-code-workflows) into .claude/skills/requirement-convergence in your project. Claude Code loads it when a task matches its description.
Run `npx skills add shinpr/claude-code-workflows --skill requirement-convergence -a codex`. Or copy the skill folder (skills/requirement-convergence in shinpr/claude-code-workflows) into .agents/skills/requirement-convergence 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 shinpr/claude-code-workflows --skill requirement-convergence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/requirement-convergence, .gemini/skills/requirement-convergence, .github/skills/requirement-convergence and .opencode/skills/requirement-convergence in your project.
SKILL.md names no scripts, command-line tools or credentials: Requirement Convergence is instructions for the agent only.
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.
Requirement Convergence is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 943 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Requirement Convergence: Geo Proposal (sickn33/agentic-awesome-skills, 47k stars), Requirement Convergence (shinpr/ai-coding-project-boilerplate, 234 stars), Better Proposals Automation (ComposioHQ/awesome-claude-skills, 77k stars) and Requirements (rizsotto/Bear, 6.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
shinpr (a GitHub user) maintains it in shinpr/claude-code-workflows, which has 694 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on October 1, 2026.
Source: shinpr/claude-code-workflows on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.