Track all identified/contacted people across strategies. An agent skill from gooseworks-ai/goose-skills.
$ npx skills add gooseworks-ai/goose-skills --skill contact-cache -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills contact-cache --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/lead-generation/capabilities/contact-cache .claude/skills/contact-cache && 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 "contact-cache" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/contact-cache into .claude/skills/contact-cache/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "contact-cache", 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/lead-generation/capabilities/contact-cacheType 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 contact-cache -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills contact-cache --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/lead-generation/capabilities/contact-cache .agents/skills/contact-cache && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "contact-cache" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/contact-cache into .agents/skills/contact-cache/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "contact-cache", 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 contact-cache -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills contact-cache --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/lead-generation/capabilities/contact-cache .cursor/skills/contact-cache && 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 "contact-cache" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/contact-cache into .cursor/skills/contact-cache/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "contact-cache", 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/lead-generation/capabilities/contact-cache--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 contact-cache -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills contact-cache --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/lead-generation/capabilities/contact-cache .gemini/skills/contact-cache && 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 "contact-cache" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/contact-cache into .gemini/skills/contact-cache/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "contact-cache", 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 contact-cacheInstalls 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 contact-cache -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/lead-generation/capabilities/contact-cache .github/skills/contact-cache && 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 "contact-cache" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/contact-cache into .github/skills/contact-cache/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "contact-cache", 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 contact-cache -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 contact-cache --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/lead-generation/capabilities/contact-cache .opencode/skills/contact-cache && 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 "contact-cache" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/contact-cache into .opencode/skills/contact-cache/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "contact-cache", 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.
contact-cacheTrack all identified/contacted people across strategies. An agent skill from gooseworks-ai/goose-skills.
Contact Cache is an agent skill from gooseworks-ai/goose-skills. Track all identified/contacted people across strategies. CSV-backed contact database with dedup by LinkedIn URL or email. Prevents duplicate outreach when running strategies on a recurring cadence.
Its SKILL.md is about 530 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/cache.py` and `skill.meta.json`).
It sits in Documents & Office, covering CSV and tabular files. It works with LinkedIn. 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.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
linkedin.comFrom 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.
Contact Cache loads about 526 tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 73 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); the scripts in this folder are not scanned.
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 73 words, ~526 tokens.
.claude/skills/contact-cache/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Track all identified/contacted people across strategies. CSV-backed contact database with dedup by LinkedIn URL or email. Prevents duplicate outreach when running strategies on a recurring cadence.
# Check if contacts are already cached
python3 skills/contact-cache/scripts/cache.py check --linkedin-urls "https://linkedin.com/in/person1,https://linkedin.com/in/person2"
python3 skills/contact-cache/scripts/cache.py check --emails "john@example.com,jane@example.com"
# Add a single contact
python3 skills/contact-cache/scripts/cache.py add --name "John Smith" --linkedin-url "https://linkedin.com/in/johnsmith" --email "john@example.com" --company "Acme Corp" --title "VP Finance" --strategy "2A-hiring-signal"
# Bulk import from CSV
python3 skills/contact-cache/scripts/cache.py add --csv /path/to/leads.csv --strategy "2A-hiring-signal"
# Update a contact's status
python3 skills/contact-cache/scripts/cache.py update --linkedin-url "https://linkedin.com/in/johnsmith" --status contacted --notes "Sent intro email 2026-02-24"
# Export the full cache
python3 skills/contact-cache/scripts/cache.py export --format csv
python3 skills/contact-cache/scripts/cache.py export --format json
python3 skills/contact-cache/scripts/cache.py export --status contacted
python3 skills/contact-cache/scripts/cache.py export --strategy "2A-hiring-signal"
# Print summary statistics
python3 skills/contact-cache/scripts/cache.py statsContacts are stored in skills/contact-cache/data/contacts.csv. The file is auto-created on first use.
Dedup is by LinkedIn URL (preferred) or email. Both are normalized and hashed (SHA256, first 16 chars) to produce a stable contact_id.
new, qualified, contacted, replied, meeting_booked, converted, not_interested
© 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 2 other files (scripts) in skills/lead-generation/capabilities/contact-cache 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 9, 2026.
Contact Cache 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 |
|---|---|---|---|---|---|---|
| Contact Cache this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~526 | Automated safety check: Pass | MIT | |
| Fullenrich Network ActivationOthmane-Khadri/YALC-the-GTM-operating-system | 318 | — | ~1.1k | Automated safety check: Warn | MIT | |
| Email Searchextruct-ai/gtm-skills | 109 | — | ~1.3k | Automated safety check: Pass | None | |
| Fullenrich Content EngagersOthmane-Khadri/YALC-the-GTM-operating-system | 318 | — | ~1.5k | Automated safety check: Warn | MIT | |
| Competitor Engagersgrowthenginenowoslawski/coldoutboundskills | 753 | — | ~1.2k | Automated safety check: Notes | MIT | |
| Linkedin Engagement Analyticsborghei/Claude-Skills | 891 | — | ~3.7k | Automated safety check: Pass | MIT |
Othmane-Khadri/YALC-the-GTM-operating-system
A skill your agent uses when the user says "activate co-founder network with FullEnrich", "enrich LinkedIn connections export", "qualify my LinkedIn connections CSV", "turn Connections.csv into a…
extruct-ai/gtm-skills
Get verified emails and phones for contacts found by people-search.
Othmane-Khadri/YALC-the-GTM-operating-system
A skill your agent uses when the user says "enrich people who engaged with this post", "qualify post engagers with FullEnrich", "scrape and enrich LinkedIn post {URL}", "engagers from this post into…
growthenginenowoslawski/coldoutboundskills
Find people actively engaging with competitor LinkedIn posts.
borghei/Claude-Skills
Segments who reacted to and commented on a post from a CSV or JSON export, and says whether it reached the intended audience.
n8n-io/n8n
Load before calling data-tables or parse-file. An agent skill from n8n-io/n8n.
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
Track all identified/contacted people across strategies. An agent skill from gooseworks-ai/goose-skills. Contact Cache is an agent skill from gooseworks-ai/goose-skills. Track all identified/contacted people across strategies.
Contact Cache fits situations like: tasks that involve CSV and tabular files.
Run `npx skills add gooseworks-ai/goose-skills --skill contact-cache -a claude-code`. Or copy the skill folder (skills/lead-generation/capabilities/contact-cache in gooseworks-ai/goose-skills) into .claude/skills/contact-cache in your project. Claude Code loads it when a task matches its description.
Run `npx skills add gooseworks-ai/goose-skills --skill contact-cache -a codex`. Or copy the skill folder (skills/lead-generation/capabilities/contact-cache in gooseworks-ai/goose-skills) into .agents/skills/contact-cache 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 contact-cache -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/contact-cache, .gemini/skills/contact-cache, .github/skills/contact-cache and .opencode/skills/contact-cache in your project.
Going by SKILL.md and its folder, Contact Cache needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
SKILL.md names 1 domain. In commands or code: linkedin.com; the agent is likely to contact it when it follows the instructions. 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Contact Cache is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 526 tokens (SKILL.md is roughly 2.1k 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 Contact Cache: Fullenrich Network Activation (Othmane-Khadri/YALC-the-GTM-operating-system, 318 stars), Email Search (extruct-ai/gtm-skills, 109 stars), Fullenrich Content Engagers (Othmane-Khadri/YALC-the-GTM-operating-system, 318 stars) and Competitor Engagers (growthenginenowoslawski/coldoutboundskills, 753 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.
