Clarify feature requirements, pressure-test scope and domain terms, and produce a feature spec before implementation.

Apache-2.0Auto-check passedProduct & Project Management

Install Dev Grill Docs

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill dev-grill-docs -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins dev-grill-docs --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/Jason-chen-coder/dev-skills/skills/dev-grill-docs .claude/skills/dev-grill-docs && rm -rf skills-src

Use ~/.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/

Facts

Skill name
dev-grill-docs
GitHub stars
1.2k
Token cost
~2k tokens
SKILL.md length
899 words
Files
2 (incl. references)
Skills in repo
736
Repo updated
First seen
Licence
Apache-2.0

At a glance

Clarify feature requirements, pressure-test scope and domain terms, and produce a feature spec before implementation.

  • Fuzzy requirements
  • SKILL.md covers Routing and depth, Gather evidence before questions, Resolve the material gaps and Write the feature contract, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • PRD/spec requests

What it does

Dev Grill Docs is an agent skill from hashgraph-online/awesome-codex-plugins. Clarify feature requirements, pressure-test scope and domain terms, and produce a feature spec before implementation. Use for fuzzy requirements, PRD/spec requests, 需求对齐, 拷问需求, or 设计文档. Read existing evidence before asking focused questions. For concrete implementation planning use dev-plan; a generic "do not edit code" instruction alone does not trigger intake. Supports --quick, --deep, and --spec-only.

Its SKILL.md is about 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/dev-baseline.md`).

It sits in Product & Project Management, covering PRD writing. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.

When your agent uses it

  • Fuzzy requirements
  • PRD/spec requests

Example prompts

  • “do not edit code”
  • “/dev-grill-docs”

What it can do on your machine

Read from SKILL.md and the folder at commit 16b4156. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Dev Grill Docs loads about 2k tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 106 tokens; SKILL.md has 899 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~106
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.9k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 16b4156, republished under its Apache-2.0 licence (© hashgraph-online). 899 words, ~1,996 tokens.

Download SKILL.mdSave it as .claude/skills/dev-grill-docs/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
dev-grill-docs
description
Clarify feature requirements, pressure-test scope and domain terms, and produce a feature spec before implementation. Use for fuzzy requirements, PRD/spec requests, 需求对齐, 拷问需求, or 设计文档. Read existing evidence before asking focused questions. For concrete implementation planning use dev-plan; a generic "do not edit code" instruction alone does not trigger intake. Supports --quick, --deep, and --spec-only.

Dev Grill Docs

Turn the user's feature intent into a usable contract. Preserve decisions already made and ask only about gaps that change behavior, scope, acceptance, or substantial cost. This skill does not implement code or replace analysis-only requests with document work.

Read references/dev-baseline.md. Project artifacts belong in the user's project, not the skill directory.

Routing and depth

  • Use this entry point for requirement alignment. dev-spec is the compatibility alias for --spec-only.
  • When scope is already clear and the user wants implementation steps, use dev-plan if available; a particular phrase such as "写个方案" does not override the conversation's actual intent.
  • Broken behavior belongs to dev-fix. Persistent visual direction belongs to dev-design-context.
  • --quick requests a compact contract and minimal questions; zero questions is correct when evidence is sufficient.
  • Default depth covers the material uncertainties. --deep adds scrutiny of lifecycle, invariants, compatibility, failures, and reversibility where relevant.
  • --spec-only disables glossary and ADR writes. It is independent of interview depth.

Explicit analysis-only, chat-only, or no-file instructions govern output. A request to discuss an idea is not permission to write project documents. When the user requests a spec or feature alignment artifact, write .claude/artifacts/designs/<feature>.md unless they specify another path.

Gather evidence before questions

Read the supplied brief and relevant existing spec, CONTEXT.md, ADRs, models, APIs, tests, or similar features. Follow the repository's search conventions; inspect enough to ground the decisions, without scanning unrelated modules.

Distinguish confirmed requirements, codebase facts, proposed defaults, and unresolved decisions. Do not ask the user for facts the repository can establish. Do not treat an implementation's current behavior as proof of intended behavior.

Resolve the material gaps

Check whether the intended user, desired outcome, in/out boundary, acceptance behavior, and integration surface are clear enough to write a contract. Ask the highest-impact unresolved question first, with concise context and an evidence-backed recommendation when useful. Group tightly related questions only when the answers depend on each other or the user requests a questionnaire.

Pay attention to domain identity: conflicting names, the same name for different entities, lifecycle transitions, ownership, and invariants. Use established project terms; surface real conflicts instead of silently renaming concepts. A stable vocabulary does not prove the feature is ready.

Use qualitative, evidence-backed gaps rather than invented ambiguity percentages. Do not enforce a minimum interview length, a number of entities, or a quota of acceptance criteria. Stop questioning when the contract is sufficient, the user changes scope, or a concrete external decision blocks progress. If repeated questions produce no new information, name the blocker and preserve useful work instead of cycling.

When the user asks to proceed, incorporate that authorization. Resolve low-impact details from existing conventions and record consequential assumptions. Do not silently decide unresolved high-impact product behavior; mark the affected scope blocked while completing independent parts.

Write the feature contract

Use a stable existing slug when it identifies this feature. Otherwise choose a descriptive slug from the request; ask only when there is a real collision or ambiguous work item. Preserve existing content outside this task.

markdown
# <feature> Spec

> Status: DRAFT | ALIGNED | IMPLEMENTED | STUCK
> Source: <request, document, or existing artifact>
> Last updated: <YYYY-MM-DD>

## Background
<User, problem, and intended outcome>

## In scope
<Behavior included in this delivery>

## Out of scope
<Relevant boundaries; say none identified when that is accurate>

## Assumptions
<Consequential defaults and their basis; omit if none>

## Solution
<Minimal behavior and integration sketch, not an implementation task list>

## Edge cases & risks
<Relevant boundaries, failures, invariants, and mitigations>

## Acceptance criteria
- AC-1 <condition or action> -> <observable expected result>

## Open questions
<Specific blocker, affected scope, needed evidence or decision owner; omit if none>

Add core entities, state transitions, compatibility constraints, or data contracts when they help downstream implementation. Omit interview transcripts, artificial clarity scores, and empty template sections. Preserve existing AC identifiers during revisions.

Status semantics:

  • DRAFT: proposed requirements remain subject to alignment; specify what remains unresolved.
  • ALIGNED: material requirements are supported by user direction or an accepted source, and no implementation-blocking question remains. Routine inferred details may be recorded as assumptions.
  • STUCK: a concrete unanswered decision or unavailable evidence blocks the intended scope. Identify it explicitly; do not advance affected implementation on that basis.
  • IMPLEMENTED: retain only when actual implementation evidence supports it; this intake skill does not implement the feature. Changed requirements invalidate that status for the affected scope.
Show full SKILL.md (283 more words)Show less

Durable documentation

Only in documentation-authorized work outside --spec-only, persist reusable knowledge when it meets these gates. Follow existing project paths and format before creating new ones.

  • CONTEXT.md: stable domain terms, boundaries, aliases, and evidence-backed meanings. Update related glossary rows only. Keep task checklists, transient copy, unresolved guesses, and implementation diaries in the task artifact.
  • docs/adr/<nnnn>-<slug>.md: an accepted decision with real tradeoffs, reuse across features/modules, meaningful reversal cost, and a rationale future readers need. Naming choices and local implementation details do not qualify. Use the project's numbering convention; otherwise the next unused number. Record Context, Decision, Consequences, status, and date. Do not label an unconfirmed proposal Accepted.

Durable notes must not conflict with the spec. A decision local to this feature belongs in its plan when implementation planning is requested.

Handoff

Report the artifact path and status, material decisions, remaining blockers, and the next useful action. Mention glossary/ADR changes only if made. If the user requested intake only, stop after the deliverable. If their broader request already authorizes implementation, continue within that scope when requirements are sufficient; do not require a new skill invocation as a permission ceremony.

SDD Contract

The downstream anchors are In scope, Out of scope, Assumptions, Open questions, and stable Acceptance criteria. Existing glossary and ADR decisions also constrain implementation. Report and reconcile material spec drift before delivery instead of treating the artifact as proof that code complies.

Multi-Agent Note

Main-agent-first: one agent owns user questions and contract writes. When delegation is available and authorized, independent explorers may gather bounded facts or challenge a substantial draft. Avoid duplicate interviews; do not invent independent approval from role labels. In the source repository, docs/multi-agent-policy.md is optional team guidance, not a standalone dependency.

© hashgraph-online, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in plugins/Jason-chen-coder/dev-skills/skills/dev-grill-docs of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • references/dev-baseline.md

Open the folder on GitHubat commit 16b4156

Compare with similar skills

Dev Grill Docs 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.

Dev Grill Docs compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Dev Grill Docs this skillhashgraph-online/awesome-codex-plugins1.2k—~2kAutomated safety check: PassApache-2.0
CCPM Project Managementautomazeio/ccpm8.4k—~1.1kAutomated safety check: PassMIT
Ralph Tui Create Beadssubsy/ralph-tui2.5k1 repos~2.6kAutomated safety check: PassMIT
Trellis Brainstormanjiemo/SunnyBeach1787 repos~4kAutomated safety check: PassApache-2.0
Adversarial Speczscole/adversarial-spec5561 repos~8.3kAutomated safety check: NotesMIT
Ralph Tui Create Beads Rustsubsy/ralph-tui2.5k1 repos~2.8kAutomated safety check: PassMIT

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Questions about Dev Grill Docs

What does Dev Grill Docs do?

Clarify feature requirements, pressure-test scope and domain terms, and produce a feature spec before implementation. Dev Grill Docs is an agent skill from hashgraph-online/awesome-codex-plugins. Clarify feature requirements, pressure-test scope and domain terms, and produce a feature spec before implementation.

When should I use Dev Grill Docs?

Dev Grill Docs fits situations like: fuzzy requirements; PRD/spec requests.

How do I install Dev Grill Docs in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill dev-grill-docs -a claude-code`. Or copy the skill folder (plugins/Jason-chen-coder/dev-skills/skills/dev-grill-docs in hashgraph-online/awesome-codex-plugins) into .claude/skills/dev-grill-docs in your project. Claude Code loads it when a task matches its description.

How do I install Dev Grill Docs in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill dev-grill-docs -a codex`. Or copy the skill folder (plugins/Jason-chen-coder/dev-skills/skills/dev-grill-docs in hashgraph-online/awesome-codex-plugins) into .agents/skills/dev-grill-docs in your project. Codex loads it when a task matches its description.

Can I use Dev Grill Docs in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill dev-grill-docs -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dev-grill-docs, .gemini/skills/dev-grill-docs, .github/skills/dev-grill-docs and .opencode/skills/dev-grill-docs in your project.

What does Dev Grill Docs need to run?

SKILL.md names no scripts, command-line tools or credentials: Dev Grill Docs is instructions for the agent only.

Does Dev Grill Docs access the network?

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.

Is Dev Grill Docs safe to install?

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.

What licence does Dev Grill Docs use?

Dev Grill Docs is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dev Grill Docs use?

About 2k tokens (SKILL.md is roughly 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 893 tokens, read only when the agent opens those files.

What are the alternatives to Dev Grill Docs?

Skills that share tags, products or a category with Dev Grill Docs: CCPM Project Management (automazeio/ccpm, 8.4k stars), Ralph Tui Create Beads (subsy/ralph-tui, 2.5k stars), Trellis Brainstorm (anjiemo/SunnyBeach, 178 stars) and Adversarial Spec (zscole/adversarial-spec, 556 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dev Grill Docs?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,232 GitHub stars. The repository holds 736 skills in this directory. The repository was last updated on October 6, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.