Requirement Convergence
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.
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/ai-coding-project-boilerplate --skill requirement-convergence -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install shinpr/ai-coding-project-boilerplate 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/ai-coding-project-boilerplate.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills-en/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/ai-coding-project-boilerplate/tree/main/.claude/skills-en/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/ai-coding-project-boilerplate/tree/main/.claude/skills-en/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/ai-coding-project-boilerplate --skill requirement-convergence -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install shinpr/ai-coding-project-boilerplate requirement-convergence --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shinpr/ai-coding-project-boilerplate.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills-en/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/ai-coding-project-boilerplate/tree/main/.claude/skills-en/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/ai-coding-project-boilerplate --skill requirement-convergence -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install shinpr/ai-coding-project-boilerplate requirement-convergence --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shinpr/ai-coding-project-boilerplate.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills-en/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/ai-coding-project-boilerplate/tree/main/.claude/skills-en/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/ai-coding-project-boilerplate.git --path .claude/skills-en/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/ai-coding-project-boilerplate --skill requirement-convergence -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install shinpr/ai-coding-project-boilerplate 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/ai-coding-project-boilerplate.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills-en/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/ai-coding-project-boilerplate/tree/main/.claude/skills-en/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/ai-coding-project-boilerplate 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/ai-coding-project-boilerplate --skill requirement-convergence -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/shinpr/ai-coding-project-boilerplate.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills-en/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/ai-coding-project-boilerplate/tree/main/.claude/skills-en/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/ai-coding-project-boilerplate --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/ai-coding-project-boilerplate requirement-convergence --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shinpr/ai-coding-project-boilerplate.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills-en/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/ai-coding-project-boilerplate/tree/main/.claude/skills-en/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/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. Use when a requirement enters a workflow, before design begins, or when "how far do we go/what's out of scope/is this worth it" is mentioned.
Its SKILL.md is about 1.2k 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: Agentic coding TypeScript boilerplate for Claude Code: sub-agent workflows with built-in quality checks and context engineering. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 56913a2. 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 1.2k tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 618 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/ai-coding-project-boilerplate at commit 56913a2, republished under its MIT licence (© shinpr). 618 words, ~1,206 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 rather than 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 its own 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.
Use the available scope and cost evidence for both elicitation and judgment, then ask only for product choices that the repository cannot answer. Build requirements[] and the exclusion hearing from capabilities the user requested; an adjacent capability noticed during analysis stays out of both, so the user need not reject a capability they did not request. Repeat scope and cost analysis only when an answer changes the analysis target or required scope evidence.
Register these steps before starting and record each step's evidence as it completes:
| Step | Action | Completion evidence |
|---|---|---|
| 1 | State the available scope facts, then separately what they imply for the requirement | Facts listed with their analysis evidence |
| 2 | Ask about the fields below ready, at most two questions per message | One question per field below ready |
| 3 | Record each answer as that field's value | The value is the option the user explicitly selected or the wording the user supplied |
| 4 | 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 |
| 5 | Judge each field against its pass condition and finalize the completed record | A convergence record with every field labeled |
| Carrier | Holds |
|---|---|
| The active convergence record | Every field with its readiness label |
PRD Success Criteria and Out of Scope | outcome; user-authored nonGoals |
Design Doc Requirement Convergence | The same when no PRD exists, and the fields left weak-but-explicit in every case |
When neither document exists, retain the record in the active context.
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 implementation 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, and escalate when the work depends on resolving it.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 .claude/skills-en/requirement-convergence of shinpr/ai-coding-project-boilerplate.
Open the folder on GitHubat commit 56913a2
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/ai-coding-project-boilerplate | 233 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Requirement Convergenceshinpr/claude-code-workflows | 693 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Geo Proposalsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.2k | Automated safety check: Notes | 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 |
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.
sickn33/agentic-awesome-skills
Auto-generate a professional, client-ready GEO service proposal from audit data.
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/ai-coding-project-boilerplate
Selects and designs the smallest integration/E2E test set that proves accepted behavior at an observable boundary.
shinpr/ai-coding-project-boilerplate
Evaluates and optimizes skill file quality using 9 content patterns and 10 editing principles.
shinpr/ai-coding-project-boilerplate
Defines React environment, component architecture, state/data flow, build verification, and frontend non-functional criteria from repository evidence.
shinpr/ai-coding-project-boilerplate
Applies React/TypeScript type safety, component design, and state management rules.
shinpr/ai-coding-project-boilerplate
Selects implementation strategy (vertical slice, horizontal, or hybrid) with risk assessment.
shinpr/ai-coding-project-boilerplate
Coordinates subagents through scale-based planning, approval, implementation, verification, and escalation flows.
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/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.
Requirement Convergence fits situations like: A requirement enters a workflow; before design begins; how far do we go/whats out of scope/is this worth it is mentioned.
Run `npx skills add shinpr/ai-coding-project-boilerplate --skill requirement-convergence -a claude-code`. Or copy the skill folder (.claude/skills-en/requirement-convergence in shinpr/ai-coding-project-boilerplate) into .claude/skills/requirement-convergence in your project. Claude Code loads it when a task matches its description.
Run `npx skills add shinpr/ai-coding-project-boilerplate --skill requirement-convergence -a codex`. Or copy the skill folder (.claude/skills-en/requirement-convergence in shinpr/ai-coding-project-boilerplate) 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/ai-coding-project-boilerplate --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 1.2k tokens (SKILL.md is roughly 4.8k 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 927 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Requirement Convergence: Requirement Convergence (shinpr/claude-code-workflows, 693 stars), Geo Proposal (sickn33/agentic-awesome-skills, 47k 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/ai-coding-project-boilerplate, which has 233 GitHub stars. The repository holds 41 skills in this directory. The repository was last updated on October 4, 2026.
Source: shinpr/ai-coding-project-boilerplate on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.