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Pack Submit

Organization
aeonfun
pack-submit

Package one of this agent's own skills as a standalone community pack and submit it to the aeon registry as a PR

Overview

Publisheraeonfun
Repositoryaeon
Skill namepack-submit
Stars
771
Forks
280
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by aeonfun on GitHub. Read the source before you install it.

Installation

Install the Pack Submit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/aeonfun/aeon/tree/main/skills/pack-submit
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aeonfun/aeon.git /tmp/aeon
mkdir -p .claude/skills
cp -r /tmp/aeon/skills/pack-submit .claude/skills/pack-submit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pack Submit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pack Submit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pack Submit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

${var} — The local skill to publish as a community pack: a skill slug (a directory name under skills/), optionally followed by flags. Required. Examples:

  • token-movers — package skills/token-movers/ into a fresh public repo and submit it to the aeon registry
  • token-movers --repo myorg/aeon-token-movers — override the pack repo name (default aeon-skill-pack-<slug>)
  • token-movers --no-register — create and push the pack repo, but skip the registry PR against aeonfun/aeon
  • token-movers --dry-run — build and validate the pack locally, write nothing to GitHub

If ${var} is empty, exit PACK_SUBMIT_NO_VAR:

bash
./notify "pack-submit aborted: var empty — pass a skill slug e.g. \"token-movers\""

Then stop.

Today is ${today}. Your task is to take the existing skill named in ${var}, wrap it in a standalone community-pack repo (its own GitHub repo with a skills-pack.json manifest), and submit it to the aeon community registry - a PR against aeonfun/aeon that adds both surfaces the registry demands in one diff: a row in the Listed packs table in docs/community-skill-packs.md AND a matching entry in catalog/skill-packs.json. This is the inverse of install-skill: instead of pulling a community pack in, it pushes one of your own skills out for every other Aeon agent to install with bin/install-skill-pack.

What a community pack is (so you build the right thing)

A community pack is a public GitHub repo that holds one or more skills plus a skills-pack.json manifest that names and versions them. bin/install-skill-pack owner/repo reads that manifest and installs the skills. To be discoverable (listed by bin/install-skill-pack --list and the dashboard's Community Packs panel), the pack must also be registered in aeonfun/aeon's catalog/skill-packs.json + the Listed packs table in docs/community-skill-packs.md. So publishing is two moves: (a) stand up the pack repo, (b) open the registry PR. This skill does both. Full protocol: docs/community-skill-packs.md.

Steps

  1. Parse and validate ${var}. The first whitespace-separated token is the skill slug; the rest are flags (--repo owner/name, --no-register, --dry-run). The slug must match ^[a-z0-9][a-z0-9-]*$ and resolve to a real directory:

    bash
    SLUG=$(echo "${var}" | awk '{print $1}')
    FLAGS=$(echo "${var}" | cut -s -d' ' -f2-)
    if ! echo "$SLUG" | grep -qE '^[a-z0-9][a-z0-9-]*$'; then
      ./notify "pack-submit aborted: \"$SLUG\" is not a valid skill slug (lowercase kebab-case)"; exit 0
    fi
    if [ ! -f "skills/$SLUG/SKILL.md" ]; then
      ./notify "pack-submit aborted: skills/$SLUG/SKILL.md not found — run with a slug from \`ls skills/\`"; exit 0
    fi

    If validation fails, exit PACK_SUBMIT_BAD_VAR with the notify above and stop. Extract the boolean flags from $FLAGS and the optional --repo value.

  2. Read the source skill's metadata. Everything the manifest and registry entry need is already declared in skills/$SLUG/SKILL.md's frontmatter — read it, don't invent it:

    • Display name — metadata.title; fall back to the top-level name:.
    • Description — the top-level description: (one line).
    • Category — metadata.category. Registry categories are an open vocabulary, but first-party-only values (core, evolution, basics) don't describe a third-party pack — if you see one of those, pick the closest community category (dev, crypto, productivity, research, social) from what the skill actually does. Otherwise pass the category through.
    • Secrets — metadata.requires. An entry ending in ? is optional → secrets_optional; an entry without ? is required → secrets_required. Strip the ?. Registry secrets_required must be UPPER_SNAKE env names.
    • Capabilities — metadata.capabilities, copied verbatim (already the locked taxonomy; see docs/CAPABILITIES.md). Omit if absent.
    bash
    fm(){ sed -n '/^---$/,/^---$/p' "skills/$SLUG/SKILL.md"; }
    TITLE=$(fm | sed -n 's/^[[:space:]]*title:[[:space:]]*//p' | head -1)
    [ -z "$TITLE" ] && TITLE=$(fm | sed -n 's/^name:[[:space:]]*//p' | head -1)
    DESC=$(fm | sed -n 's/^description:[[:space:]]*//p' | head -1)
    CATEGORY=$(fm | sed -n 's/^[[:space:]]*category:[[:space:]]*//p' | head -1)

    Collect requires:/capabilities: list items (lines under those keys beginning with -) into shell arrays; split requires into required (no ?) and optional (trailing ?, stripped).

  3. Build the pack repo locally. Stage a clean working tree — the manifest at root, the full skill directory copied verbatim (including any helper scripts/config, not just SKILL.md), a README, and an MIT LICENSE:

    bash
    PACK_DIR=$(mktemp -d)/pack
    mkdir -p "$PACK_DIR/skills/$SLUG"
    cp -R "skills/$SLUG/." "$PACK_DIR/skills/$SLUG/"

    Write $PACK_DIR/skills-pack.json (build it with python3/jq, never string concatenation, so quoting is safe). Include only fields you actually have:

    json
    {
      "name": "<TITLE>",
      "version": "0.1.0",
      "description": "<DESC>",
      "author": "<operator github handle>",
      "license": "MIT",
      "homepage": "https://github.com/<owner>/<pack-repo>",
      "skills": [
        {
          "slug": "<SLUG>",
          "path": "skills/<SLUG>",
          "description": "<DESC>",
          "category": "<CATEGORY>",
          "schedule": "0 12 * * *",
          "default_enabled": false,
          "secrets_required": [ ... ],
          "secrets_optional": [ ... ],
          "capabilities": [ ... ]
        }
      ]
    }

    Write a README.md that names the skill, states its schedule assumption, lists required/optional secrets, and shows the one-line install (bin/install-skill-pack <owner>/<pack-repo>). Write a standard MIT LICENSE (year ${today}'s year, copyright the operator handle). Resolve the operator handle once: OWNER=$(gh api user --jq .login).

  4. Pre-flight the pack. Run the repo's own validator against the staged directory — it enforces exactly what bin/install-skill-pack requires (valid JSON manifest, clean slug, no .. in paths, the SKILL.md present, locked-taxonomy capabilities):

    bash
    ./scripts/validate-pack.sh "$PACK_DIR" 2>&1 | tee /tmp/pack-validate.txt

    Exit non-zero (an ERROR: line) → exit PACK_SUBMIT_INVALID_PACK, notify with the failing line, and stop. Do not push an invalid pack. Warnings are fine to proceed on; surface them in the notify.

    If --dry-run was passed, stop here: notify the operator that the pack built and validated cleanly at $PACK_DIR, list the manifest fields, and exit PACK_SUBMIT_DRY_RUN without touching GitHub.

  5. Create and push the pack repo. Default repo name aeon-skill-pack-$SLUG (or the --repo override). The pack must be public — the installer fetches its tarball, and a private pack can't be installed by anyone else:

    bash
    PACK_REPO="${REPO_OVERRIDE:-aeon-skill-pack-$SLUG}"     # owner defaults to $OWNER
    gh repo view "$PACK_REPO" >/dev/null 2>&1 \
      && { ./notify "pack-submit aborted: repo $PACK_REPO already exists — pass --repo to pick another name"; exit 0; }
    ( cd "$PACK_DIR" && git init -q && git add -A \
        && git commit -q -m "Aeon community pack: $SLUG" \
        && gh repo create "$PACK_REPO" --public --source=. --push )

    Capture the resulting owner/repo (FULL_REPO=$(gh repo view "$PACK_REPO" --json nameWithOwner --jq .nameWithOwner)). If repo creation fails (permission/name), exit PACK_SUBMIT_REPO_FAILED, notify with the gh error's shortest decisive line, and stop.

  6. Submit the registry PR against aeonfun/aeon (skip this whole step if --no-register was passed - then jump to step 7 reporting only the pack repo). The registry lives in the canonical repo, so work against a fork, not this instance's checkout - this instance's catalog/skill-packs.json and docs/community-skill-packs.md can be stale:

    bash
    WORK=$(mktemp -d)
    gh repo fork aeonfun/aeon --clone=true --default-branch-only 2>/dev/null || true
    git clone -q "https://github.com/$OWNER/aeon.git" "$WORK/aeon" || git clone -q https://github.com/aeonfun/aeon.git "$WORK/aeon"
    cd "$WORK/aeon" && git checkout -b "pack-submit/$SLUG"

    Make the two edits the validator (scripts/validate-skill-packs.mjs) checks for parity:

    (a) catalog/skill-packs.json — append one object to .packs. Build it with jq from the values you resolved (mirror the pack's own manifest: skills is ["$SLUG"], trust_level is "community", aggregate secrets_required/capabilities from the skill):

    bash
    jq --arg repo "$FULL_REPO" --arg name "$TITLE" --arg desc "$DESC" \
       --arg author "$OWNER" --arg homepage "https://github.com/$FULL_REPO" \
       --arg cat "$CATEGORY" --arg slug "$SLUG" \
       '.packs += [ { repo:$repo, name:$name, description:$desc, author:$author,
         license:"MIT", homepage:$homepage, category:$cat, trust_level:"community",
         skills:[$slug] } ]' catalog/skill-packs.json > /tmp/reg.json \
      && mv /tmp/reg.json catalog/skill-packs.json

    Add secrets_required / capabilities keys to that object only when the skill declares them (keep it in sync with the pack manifest). Do not use trust_level: trusted — that requires the repo to be in skills/security/trusted-sources.txt, and the validator rejects an unearned trusted.

    (b) docs/community-skill-packs.md - add a table row under the | Pack | Skills | Description | header in the Listed packs section (the last section of the file). The table moved there from .github/README.md in #845; do not edit the README. The row format, matching the existing rows exactly:

    | [<pack-repo-name>](https://github.com/<FULL_REPO>) | 1 | <one-line description, ≤110 chars>. |

    Use python3 for a surgical insert. The row must land inside the table's contiguous block - insert it immediately after the last existing | [ row, never after a blank line or other text. The parity validator parses rows only until the first non-| line, so a row placed past the table is invisible to it and the PR fails CI with "in the registry but has no row in the Community Packs table". Verify with a re-read that the row sits among the other rows:

    python
    import re
    lines = open("docs/community-skill-packs.md").read().split("\n")
    sec = next(i for i,l in enumerate(lines) if re.match(r'^#+\s+Listed packs\s*$', l))
    hdr = next(i for i in range(sec,len(lines)) if re.match(r'^\|\s*Pack\s*\|\s*Skills\s*\|\s*Description\s*\|', lines[i]))
    i = hdr + 2; last = i
    while i < len(lines) and lines[i].startswith("|"): last = i; i += 1   # last data row
    lines.insert(last + 1, f"| [{PACK_NAME}](https://github.com/{FULL_REPO}) | 1 | {DESC} |")
    open("docs/community-skill-packs.md","w").write("\n".join(lines))

    Validate parity before committing — this is the exact CI gate the PR will hit:

    bash
    node scripts/validate-skill-packs.mjs

    A non-zero exit → fix the reported mismatch (skill count, a missing row, or a --path flag) and re-run until it prints validate-skill-packs: OK. Never open the PR on a red validator.

    Then commit both files together, push the branch to your fork, and open the PR against the canonical repo:

    bash
    git add catalog/skill-packs.json docs/community-skill-packs.md
    git commit -m "feat: list $TITLE community pack ($FULL_REPO)"
    git push -u origin "pack-submit/$SLUG"
    PR_URL=$(gh pr create --repo aeonfun/aeon --title "feat: list $TITLE community pack" --body "$(cat <<BODY
    ## New community pack
    
    **Pack:** [$FULL_REPO](https://github.com/$FULL_REPO)
    **Skill:** \`$SLUG\` — $DESC
    **Author:** @$OWNER · **License:** MIT · **Category:** $CATEGORY
    
    Adds a row to the Listed packs table in \`docs/community-skill-packs.md\` and a matching \`catalog/skill-packs.json\` entry (both in this diff, per the publishing checklist). \`node scripts/validate-skill-packs.mjs\` passes locally.
    
    Install once merged:
    \`\`\`
    bin/install-skill-pack $FULL_REPO
    \`\`\`
    BODY
    )")

    Capture PR_URL. If gh pr create fails because a PR already exists for the branch, capture the existing URL instead of erroring. This PR is not self-merging — it lands in someone else's repo and is reviewed by the aeon maintainers.

  7. Log. Append to memory/logs/${today}.md:

    ### pack-submit
    - Skill: {SLUG} ({TITLE})
    - Pack repo: https://github.com/{FULL_REPO}
    - Registry PR: {PR_URL or "skipped (--no-register)"}
    - Secrets: {required list or "none"} · Capabilities: {list or "none"}
    - Exit: PACK_SUBMIT_OK (or the code that applied)
  8. Notify. Send one concise line via ./notify (≤4000 chars, clickable URLs):

    *pack-submit — {TITLE}*
    Pack repo: https://github.com/{FULL_REPO}
    Registry PR: {PR_URL}
    Install: `bin/install-skill-pack {FULL_REPO}`
    {"Requires: X, Y" if any required secrets, else omit}

    On --no-register, say the pack repo is live and give the exact PR checklist link (docs/community-skill-packs.md#pack-maintainers-publishing-checklist) so the operator can list it manually.

Exit taxonomy

CodeWhenAction
PACK_SUBMIT_OKPack repo pushed and registry PR opened (or --no-register completed)Notify with pack repo + PR link
PACK_SUBMIT_NO_VAR${var} emptyNotify abort reason; stop
PACK_SUBMIT_BAD_VARSlug malformed or skills/<slug>/SKILL.md missingNotify with the slug; stop
PACK_SUBMIT_INVALID_PACKvalidate-pack.sh reported an ERRORNotify with the failing line; stop (nothing pushed)
PACK_SUBMIT_DRY_RUN--dry-run — built + validated, wrote nothing to GitHubNotify with the staged path + manifest summary
PACK_SUBMIT_REPO_FAILEDgh repo create failed (name taken, permission)Notify with the gh error; stop
PACK_SUBMIT_REGISTRY_FAILEDFork/clone/validate/PR step failed after the pack repo was pushedNotify: pack repo is live, registry PR did not open, with the failing step

Network note

There is no network sandbox — git and gh reach GitHub directly. gh is authenticated in Actions (via GH_GLOBAL when set; the ambient GITHUB_TOKEN otherwise, which cannot create repos or cross-repo PRs — surface that as PACK_SUBMIT_REPO_FAILED rather than looping). Every irreversible outward write — creating the public pack repo (step 5) and opening the registry PR (step 6) — happens in-run and is fail-closed: a failed pre-flight (validate-pack.sh) or a failed parity check (validate-skill-packs.mjs) stops before any push. Confirm reachability with gh api repos/aeonfun/aeon --jq .full_name before deciding a fork/clone failure is real vs transient.

Constraints

  • Publish only skills that already exist in skills/. This skill packages and distributes; it does not author. To create a new skill, use create-skill.
  • The pack repo must be public — the installer fetches its tarball; a private pack is uninstallable by others.
  • Never register with trust_level: trusted — that is earned via skills/security/trusted-sources.txt, and the validator rejects a self-declared trusted. Community packs use trust_level: community.
  • Never open the registry PR on a red validate-skill-packs.mjs — a broken registry entry takes down bin/install-skill-pack --list and the dashboard panel for everyone.
  • Keep the two registry surfaces in lockstep - the Listed packs row in docs/community-skill-packs.md and the skill-packs.json entry ship in one diff, with matching skill counts. That is what the CI gate enforces.
  • Don't leak secret values. The manifest lists secret names only (from the skill's requires:), never values.

Frequently asked questions

What does the Pack Submit AI skill do?

Package one of this agent's own skills as a standalone community pack and submit it to the aeon registry as a PR

Why use Pack Submit on TypingMind?

Because you install it once and use it with any model. Pack Submit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pack Submit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aeonfun/aeon/tree/main/skills/pack-submit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pack Submit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pack Submit?

As many as you like. As long as a model supports skills, you can use Pack Submit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pack Submit AI skill free?

Yes. It is published on GitHub by aeonfun under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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