Agent skill

Corgispec Propose

by ricoyudog in ricoyudog/Coding_Corgi_flow

Create or complete one RFC-first CorgiSpec planning package from an accepted unbound RFC Slice or a closed maintenance exemption.

No licenceAuto-check passed

Install Corgispec Propose

skills CLI
$ npx skills add ricoyudog/Coding_Corgi_flow --skill corgispec-propose -a claude-code

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

GitHub CLI
$ gh skill install ricoyudog/Coding_Corgi_flow corgispec-propose --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/ricoyudog/Coding_Corgi_flow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/molecules/corgispec-propose .claude/skills/corgispec-propose && 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
corgispec-propose
GitHub stars
104
Token cost
~1.1k tokens
SKILL.md length
479 words
Files
3 (incl. references)
Skills in repo
18
Repo updated
First seen
Licence
None found

At a glance

Create or complete one RFC-first CorgiSpec planning package from an accepted unbound RFC Slice or a closed maintenance exemption.

  • Works in 5 steps: Confirm the project uses corgi.contract:… → Create or reuse the configured delivery… → Keep HEAD unchanged throughout Propose. → …
  • The CLI must create/recover the single Issue
  • SKILL.md covers Select One Source, Establish Context, Complete Planning and Handoff
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Corgispec Propose is an agent skill from ricoyudog/Coding_Corgi_flow. Create or complete one RFC-first CorgiSpec planning package from an accepted unbound RFC Slice or a closed maintenance exemption. Use when the CLI must create/recover the single Issue, Change, source overlay, traceability, and strict-ready handoff without implementing code.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/artifact-creation.md` and `skill.meta.json`).

The repository describes itself as: OpenSpec GitFlow — structured AI engineering workflows with issue tracking.

When your agent uses it

  • The CLI must create/recover the single Issue
  • Strict-ready handoff without implementing code

Example prompts

  • “/corgispec-propose”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Confirm the project uses corgi.contract: rfc-v1 and the Foundation RFC is effective.
  2. Create or reuse the configured delivery worktree before Propose when worktree isolation is enabled. Run all subsequent commands there.
  3. Keep HEAD unchanged throughout Propose.
  4. Run the exact CLI command once. On retry, run the same command so its durable intent and Issue marker can reconcile idempotently.
  5. If the CLI reports multiple Issue markers, a conflicting Change, an occupied Slice, or a source contract error, stop without manual repair.

What it can do on your machine

Read from SKILL.md and the folder at commit 461555c. 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 bash).

    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

Corgispec Propose loads about 1.1k tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 479 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.4k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 479 words (~1,074 tokens).

“Context Gate: If session context already contains ALL of: isolation.mode, active changes with worktree paths, current branch, reuse it; otherwise read configuration and discover worktrees.”

— opening of SKILL.md by ricoyudog
name
corgispec-propose

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in .claude/skills/molecules/corgispec-propose of ricoyudog/Coding_Corgi_flow.

  • SKILL.md
  • references/artifact-creation.md
  • skill.meta.json

Open the folder on GitHubat commit 461555c

Compare with similar skills

Corgispec Propose 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.

Corgispec Propose compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Corgispec Propose this skillricoyudog/Coding_Corgi_flow104—~1.1kAutomated safety check: PassNone
Create RfcNVIDIA/OpenShell16k—~657Automated safety check: PassApache-2.0
Geo Proposalsickn33/agentic-awesome-skills47k1 repos~3.2kAutomated safety check: NotesMIT
Write Rfcvideojs/video.js40k—~375Automated safety check: PassCustom licence
Better Proposals AutomationComposioHQ/awesome-claude-skills77k3 repos~764Automated safety check: PassNone
Frame A Proposalinkeep/open-knowledge4.4k—~3.6kAutomated safety check: PassGPL-3.0

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More from ricoyudog/Coding_Corgi_flow

All 18 skills in this repo
  • Corgispec Update

    ricoyudog/Coding_Corgi_flow

    Reconcile an existing CorgiSpec planning package after intent, requirements, scenarios, design, or task sequencing changes.

    104 GitHub stars~1.3k tokensUpdated 1 mo ago
    Auto-check passed
  • Corgispec Ask

    ricoyudog/Coding_Corgi_flow

    Answer pending Obsidian questions from CorgiSpec Memory/Wiki with early-stop retrieval, source citations, and a strict file budget.

    104 GitHub stars~689 tokensUpdated 1 mo ago
    Auto-check passed
  • Corgispec Install

    ricoyudog/Coding_Corgi_flow

    A skill your agent uses when installing, updating, or verifying this repo's project-local Corgi GitFlow assets in a target project.

    104 GitHub stars~4.2k tokensUpdated 1 mo ago
    Auto-check passed
  • Corgispec Lint

    ricoyudog/Coding_Corgi_flow

    Validate CorgiSpec v4 Memory/Wiki structure, freshness, source integrity, delivery extraction, bridge drift, and legacy preservation.

    104 GitHub stars~987 tokensUpdated 1 mo ago
    Auto-check passed
  • Corgispec Rfc

    ricoyudog/Coding_Corgi_flow

    Guide a human-authored CorgiSpec RFC through isolated draft creation, validation, explicit interactive approval, merge effectiveness, collision renumbering, and amendments.

    104 GitHub stars~777 tokensUpdated 1 mo ago
    Auto-check passed
  • Corgispec Ready

    ricoyudog/Coding_Corgi_flow

    Assess whether an existing CorgiSpec change is safe to implement by combining deterministic corgispec ready checks with a read-only cross-artifact semantic review.

    104 GitHub stars~827 tokensUpdated 1 mo ago
    Auto-check passed

Questions about Corgispec Propose

What does Corgispec Propose do?

Create or complete one RFC-first CorgiSpec planning package from an accepted unbound RFC Slice or a closed maintenance exemption. Corgispec Propose is an agent skill from ricoyudog/Coding_Corgi_flow. Create or complete one RFC-first CorgiSpec planning package from an accepted unbound RFC Slice or a closed maintenance exemption.

When should I use Corgispec Propose?

Corgispec Propose fits situations like: the CLI must create/recover the single Issue; strict-ready handoff without implementing code.

How do I install Corgispec Propose in Claude Code?

Run `npx skills add ricoyudog/Coding_Corgi_flow --skill corgispec-propose -a claude-code`. Or copy the skill folder (.claude/skills/molecules/corgispec-propose in ricoyudog/Coding_Corgi_flow) into .claude/skills/corgispec-propose in your project. Claude Code loads it when a task matches its description.

How do I install Corgispec Propose in Codex?

Run `npx skills add ricoyudog/Coding_Corgi_flow --skill corgispec-propose -a codex`. Or copy the skill folder (.claude/skills/molecules/corgispec-propose in ricoyudog/Coding_Corgi_flow) into .agents/skills/corgispec-propose in your project. Codex loads it when a task matches its description.

Can I use Corgispec Propose 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 ricoyudog/Coding_Corgi_flow --skill corgispec-propose -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/corgispec-propose, .gemini/skills/corgispec-propose, .github/skills/corgispec-propose and .opencode/skills/corgispec-propose in your project.

What does Corgispec Propose need to run?

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

Does Corgispec Propose 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 Corgispec Propose 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 Corgispec Propose use?

No licence was found for Corgispec Propose or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Corgispec Propose use?

About 1.1k tokens (SKILL.md is roughly 4.3k 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 306 tokens, read only when the agent opens those files.

What are the alternatives to Corgispec Propose?

Skills that share tags, products or a category with Corgispec Propose: Create Rfc (NVIDIA/OpenShell, 16k stars), Geo Proposal (sickn33/agentic-awesome-skills, 47k stars), Write Rfc (videojs/video.js, 40k stars) and Better Proposals Automation (ComposioHQ/awesome-claude-skills, 77k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Corgispec Propose?

ricoyudog (a GitHub user) maintains it in ricoyudog/Coding_Corgi_flow, which has 104 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on August 19, 2026.

Source: ricoyudog/Coding_Corgi_flow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.