Disco Like
growthenginenowoslawski/coldoutboundskills
Find lookalike companies via DiscoLike's 65M+ business domain database.
End-to-end cold email outreach orchestration. An agent skill from gooseworks-ai/goose-skills.
$ npx skills add gooseworks-ai/goose-skills --skill cold-email-outreach -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills cold-email-outreach --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/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/outreach/capabilities/cold-email-outreach .claude/skills/cold-email-outreach && 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 "cold-email-outreach" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/outreach/capabilities/cold-email-outreach into .claude/skills/cold-email-outreach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-email-outreach", 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/gooseworks-ai/goose-skills/tree/main/skills/outreach/capabilities/cold-email-outreachType 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 gooseworks-ai/goose-skills --skill cold-email-outreach -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills cold-email-outreach --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/outreach/capabilities/cold-email-outreach .agents/skills/cold-email-outreach && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cold-email-outreach" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/outreach/capabilities/cold-email-outreach into .agents/skills/cold-email-outreach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-email-outreach", 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 gooseworks-ai/goose-skills --skill cold-email-outreach -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills cold-email-outreach --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/outreach/capabilities/cold-email-outreach .cursor/skills/cold-email-outreach && 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 "cold-email-outreach" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/outreach/capabilities/cold-email-outreach into .cursor/skills/cold-email-outreach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-email-outreach", 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/gooseworks-ai/goose-skills.git --path skills/outreach/capabilities/cold-email-outreach--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 gooseworks-ai/goose-skills --skill cold-email-outreach -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills cold-email-outreach --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/outreach/capabilities/cold-email-outreach .gemini/skills/cold-email-outreach && 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 "cold-email-outreach" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/outreach/capabilities/cold-email-outreach into .gemini/skills/cold-email-outreach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-email-outreach", 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 gooseworks-ai/goose-skills cold-email-outreachInstalls 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 gooseworks-ai/goose-skills --skill cold-email-outreach -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/outreach/capabilities/cold-email-outreach .github/skills/cold-email-outreach && 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 "cold-email-outreach" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/outreach/capabilities/cold-email-outreach into .github/skills/cold-email-outreach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-email-outreach", 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 gooseworks-ai/goose-skills --skill cold-email-outreach -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills cold-email-outreach --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/outreach/capabilities/cold-email-outreach .opencode/skills/cold-email-outreach && 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 "cold-email-outreach" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/outreach/capabilities/cold-email-outreach into .opencode/skills/cold-email-outreach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-email-outreach", 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.
cold-email-outreachEnd-to-end cold email outreach orchestration. An agent skill from gooseworks-ai/goose-skills.
Cold Email Outreach is an agent skill from gooseworks-ai/goose-skills. End-to-end cold email outreach orchestration. Handles goal alignment, lead ingestion from any source (CSV, paste, CRM export, database), sequence design, email generation, campaign setup in the user's chosen outreach tool, and launch. Tool-agnostic — supports Smartlead (full MCP automation), Instantly, Lemlist, Apollo, or manual CSV export.
Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).
It sits in Sales & Support, covering Cold outreach, CSV and tabular files and GraphQL. It works with Model Context Protocol. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c650c6d. 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 these keys or tokens, usually read from environment variables:
SMARTLEAD_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Cold Email Outreach loads about 3.4k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 1,510 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 noted patterns worth knowing about, such as sudo or a known installer.
PI_KEY` not set | Ask user to add it to `.env` or export it |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 gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 1,510 words, ~3,410 tokens.
.claude/skills/cold-email-outreach/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.The final mile of the outbound pipeline. Takes leads from wherever the user has them, builds email sequences, loads campaigns into the user's chosen outreach tool, and launches.
Tool-agnostic: Asks the user which outreach platform they use. Defaults to Smartlead if they have MCP tools configured. Falls back to CSV export for any other tool or manual workflow.
Use this skill when:
This skill does NOT assume a specific tool. It asks first, then adapts.
| Tool | Integration | How It Works |
|---|---|---|
| Smartlead (default) | MCP tools (mcp__smartlead__*) | Full automation: create campaign, add sequences, import leads, allocate mailboxes, configure schedule, launch |
| Instantly | CSV import | Generate CSV matching Instantly's import format, user uploads manually |
| Lemlist | CSV import | Generate CSV with Lemlist-compatible columns |
| Apollo | CSV import | Generate CSV matching Apollo sequence import format |
| Manual / Other | CSV + instructions | Export leads + emails as generic CSV, provide setup instructions |
Tool selection logic:
email, first_name, last_name, company, title, subject, body per touch) and ask user for their tool's import requirementsFor Smartlead (full automation):
SMARTLEAD_API_KEY=your_api_key_hereAll Smartlead API calls go to https://server.smartlead.ai/api/v1 with ?api_key=$SMARTLEAD_API_KEY appended. Rate limit: 10 requests per 2 seconds.
For CSV-based tools: No env vars needed.
Ask all questions at once. Organize by category. Skip any already answered.
Minimum required per lead: email address. Nice to have: first_name, last_name, company, title.
Accept leads from whatever source the user provides:
email (required) — also matches Email, email_addressfirst_name — also matches firstname, first, First Namelast_name — also matches lastname, last, Last Namecompany_name — also matches company, organization, CompanyShow a sample table (10-15 leads) with:
Tell user: total eligible leads, how many were invalid/removed.
Ask user to confirm or adjust before proceeding.
Present the sequence plan as a table before writing any copy:
| Touch | Day | Email Type | Framework | CTA |
|---|---|---|---|---|
| 1 | 1 | Cold intro | Signal-Proof-Ask | 15-min call |
| 2 | 5 | New angle / asset | PAS | Resource offer |
| 3 | 12 | Social proof | BAB | Open to chat? |
Get user approval on the structure before generating copy in Phase 3.
Write the email copy directly using these guidelines.
Every cold email follows this skeleton:
Hook (1 sentence) → Evidence (1-2 sentences) → Offer (1 sentence)Word count targets:
Tier 1 (Generic): Generate one template per touch with merge fields ({first_name}, {company}, {title}). Same template for all leads.
Tier 2 (Segment): Generate one template per segment per touch. Segments are defined by role, industry, or signal type. Swap pain points and proof points between segments.
Tier 3 (Deep): Generate unique email per lead per touch. Cap at 50 leads — recommend Tier 2 above that volume.
Full automation via MCP tools. Execute in this order:
Step 1: Find and allocate mailboxes
mcp__smartlead__get_email_accountsReturns all email accounts with id, from_email, from_name, daily_sent_count, is_smtp_success, is_imap_success.
To find free mailboxes (not already assigned to active campaigns):
mcp__smartlead__get_campaignsACTIVE or STARTED, fetch its email accounts: mcp__smartlead__get_campaign_email_accountsemail_account_id values currently assigned to active campaignsid is NOT in the active set AND is_smtp_success = true AND is_imap_success = truedaily_sent_count ascending (prefer least-used)If fewer free mailboxes than requested, tell the user and ask how to proceed.
Present available/selected accounts to user for confirmation.
Step 2: Create campaign
mcp__smartlead__create_campaign
name: {campaign_name}Save the returned campaign_id.
Step 3: Add sequence steps
mcp__smartlead__save_campaign_sequences
campaign_id: {campaign_id}
sequences: [
{ seq_number: 1, subject: "...", email_body: "...", seq_delay_details: { delay_in_days: 0 } },
{ seq_number: 2, subject: "...", email_body: "...", seq_delay_details: { delay_in_days: 4 } },
{ seq_number: 3, subject: "...", email_body: "...", seq_delay_details: { delay_in_days: 7 } }
]Merge variable mapping: Convert {first_name} → {{first_name}}, {company} → {{company}} (Smartlead uses double-brace syntax).
Note: Blank subject on emails 2+ makes them send as replies in the same thread.
Step 4: Import leads (batch 100)
mcp__smartlead__add_leads_to_campaign
campaign_id: {campaign_id}
lead_list: [{ email: "...", first_name: "...", last_name: "...", company_name: "...", ... }]Smartlead accepts max 100 leads per call. Chunk the list and call for each batch. Extra columns become custom_fields.
Step 5: Assign sending accounts
mcp__smartlead__add_email_accounts_to_campaign
campaign_id: {campaign_id}
email_account_ids: [...]Step 6: Set schedule
mcp__smartlead__update_campaign_schedule
campaign_id: {campaign_id}
schedule: {
timezone: "America/New_York",
days_of_the_week: [1, 2, 3, 4, 5],
start_hour: "08:00",
end_hour: "18:00",
min_time_btw_emails: 10,
max_new_leads_per_day: 20
}days_of_the_week: 0=Sunday, 1=Monday, ..., 6=Saturday.
Step 7: Configure settings
mcp__smartlead__update_campaign_settings
campaign_id: {campaign_id}
settings: {
track_settings: [],
stop_lead_settings: "REPLY_TO_AN_EMAIL",
send_as_plain_text: false,
follow_up_percentage: 100
}Allowed track_settings: DONT_TRACK_EMAIL_OPEN, DONT_TRACK_LINK_CLICK, DONT_TRACK_REPLY_TO_AN_EMAIL
Allowed stop_lead_settings: REPLY_TO_AN_EMAIL, CLICK_ON_A_LINK, OPEN_AN_EMAIL
Step 1: Generate CSV
Columns depend on personalization tier:
Tier 1 (same template for all):
email, first_name, last_name, company, title, custom_field_1 (signal/hook)Tier 2/3 (per-segment or per-lead emails):
email, first_name, last_name, company, title, touch_1_subject, touch_1_body, touch_2_subject, touch_2_body, touch_3_subject, touch_3_bodyStep 2: Save file
Save to the current working directory:
{campaign-name}-{YYYY-MM-DD}.csvStep 3: Provide tool-specific import instructions
Instantly:
Lemlist:
Apollo:
Other / Manual:
Present campaign summary:
Campaign: {name}
Leads: {count}
Sequence: {touches} touches over {days} days
Sending: {accounts} accounts × {daily_limit}/day = {daily_volume} emails/day
Estimated completion: {date}
Tool: {smartlead/instantly/etc.}Do NOT activate the campaign without explicit user confirmation. Present the summary, then ask: "Ready to launch? Type 'yes' to activate."
mcp__smartlead__update_campaign_status → set status to STARTAll endpoints use base URL https://server.smartlead.ai/api/v1 with ?api_key= query param.
| Endpoint | Method | Purpose |
|---|---|---|
/campaigns/create | POST | Create a new campaign |
/campaigns | GET | List all campaigns |
/campaigns/{id} | GET | Get campaign by ID |
/campaigns/{id}/schedule | POST | Set campaign schedule |
/campaigns/{id}/settings | POST | Update tracking/stop settings |
/campaigns/{id}/sequences | POST | Save email sequences |
/campaigns/{id}/leads | POST | Add leads (max 100 per call) |
/campaigns/{id}/email-accounts | GET | List mailboxes on a campaign |
/campaigns/{id}/email-accounts | POST | Assign mailboxes to campaign |
/campaigns/{id}/status | POST | Change campaign status (START/PAUSED/STOPPED) |
/campaigns/{id}/analytics | GET | Top-level campaign analytics |
/email-accounts/ | GET | List all email accounts (offset/limit) |
| Component | Cost |
|---|---|
| Smartlead campaign setup | Free (API included with Smartlead plan) |
| CSV export | Free |
| Email copy generation | Free (LLM reasoning) |
| Error | Fix |
|---|---|
SMARTLEAD_API_KEY not set | Ask user to add it to .env or export it |
| Smartlead rate limit (429) | Wait 2 seconds and retry |
| Lead upload fails | Check email format, retry batch |
| No free mailboxes | Show all accounts, ask user which to use |
| Campaign creation fails | Check API key validity |
© gooseworks-ai, 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 in skills/outreach/capabilities/cold-email-outreach of gooseworks-ai/goose-skills.
Open the folder on GitHubat commit c650c6d
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 7, 2026.
Cold Email Outreach 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 |
|---|---|---|---|---|---|---|
| Cold Email Outreach this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~3.4k | Automated safety check: Notes | MIT | |
| Disco Likegrowthenginenowoslawski/coldoutboundskills | 753 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Sales OsromangojiberryAI/gojiberryai-sales-os | 139 | — | ~2k | Automated safety check: Pass | MIT | |
| Vibe Prospectinghashgraph-online/awesome-codex-plugins | 1.3k | 1 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Cold Email Local Businessgmapsscraper/google-maps-agent-skills | 132 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Blitz List Buildergrowthenginenowoslawski/coldoutboundskills | 753 | — | ~2k | Automated safety check: Pass | MIT |
growthenginenowoslawski/coldoutboundskills
Find lookalike companies via DiscoLike's 65M+ business domain database.
romangojiberryAI/gojiberryai-sales-os
A complete outbound sales department in one skill. An agent skill from romangojiberryAI/gojiberryai-sales-os.
hashgraph-online/awesome-codex-plugins
Find company & contact data. An agent skill from hashgraph-online/awesome-codex-plugins.
gmapsscraper/google-maps-agent-skills
Write hyper-personalized cold emails to local businesses using their Google Maps data (CSV).
growthenginenowoslawski/coldoutboundskills
Use the Blitz API to find decision-makers at specific companies when you already have a list of company domains.
Varnan-Tech/opendirectory
A skill your agent uses when the user wants to verify cold emails, enrich a lead list, or autonomously guess email addresses from a CSV using ValidEmail.co or the open-source Reacher engine.
gooseworks-ai/goose-skills
Scrape and search Reddit posts using Apify. An agent skill from gooseworks-ai/goose-skills.
gooseworks-ai/goose-skills
Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent.
gooseworks-ai/goose-skills
Replace an existing video's opening with a supplied clip or free kinetic text hook while retaining and verifying every original body frame, audio, captions and ending.
gooseworks-ai/goose-skills
Scrape blog posts via RSS feeds (free, no API key) with Apify fallback for JS-heavy sites.
gooseworks-ai/goose-skills
Find leads by scraping engagers from a competitor's top LinkedIn posts.
gooseworks-ai/goose-skills
Assemble a ChatGPT chat-reveal video ad from a thread + timeline JSON — one continuous Playwright recording of a ChatGPT mobile chat (user types with the iOS keyboard up → taps send → keyboard…
Works with
Categories
End-to-end cold email outreach orchestration. An agent skill from gooseworks-ai/goose-skills. Cold Email Outreach is an agent skill from gooseworks-ai/goose-skills. End-to-end cold email outreach orchestration.
Cold Email Outreach fits situations like: tasks that involve Cold outreach; tasks that involve CSV and tabular files; tasks that involve GraphQL.
Run `npx skills add gooseworks-ai/goose-skills --skill cold-email-outreach -a claude-code`. Or copy the skill folder (skills/outreach/capabilities/cold-email-outreach in gooseworks-ai/goose-skills) into .claude/skills/cold-email-outreach in your project. Claude Code loads it when a task matches its description.
Run `npx skills add gooseworks-ai/goose-skills --skill cold-email-outreach -a codex`. Or copy the skill folder (skills/outreach/capabilities/cold-email-outreach in gooseworks-ai/goose-skills) into .agents/skills/cold-email-outreach 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 gooseworks-ai/goose-skills --skill cold-email-outreach -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cold-email-outreach, .gemini/skills/cold-email-outreach, .github/skills/cold-email-outreach and .opencode/skills/cold-email-outreach in your project.
Going by SKILL.md and its folder, Cold Email Outreach needs credentials named SMARTLEAD_API_KEY. Our summary lists: A credential in SMARTLEAD_API_KEY.
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 notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Cold Email Outreach is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.4k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Cold Email Outreach: Disco Like (growthenginenowoslawski/coldoutboundskills, 753 stars), Sales Os (romangojiberryAI/gojiberryai-sales-os, 139 stars), Vibe Prospecting (hashgraph-online/awesome-codex-plugins, 1.3k stars) and Cold Email Local Business (gmapsscraper/google-maps-agent-skills, 132 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.
Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.