Creating Financial Models
Chen-zexi/open-ptc-agent
This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions
WorkorAI talent-marketplace skill: candidates search jobs and manage applications; employers run the job lifecycle and get ranked candidate matches with white-box fit explanations.
Install Workorai
$ npx skills add sickn33/agentic-awesome-skills --skill workorai -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills workorai --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/workorai .claude/skills/workorai && 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 "workorai" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/workorai into .claude/skills/workorai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workorai", 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/sickn33/agentic-awesome-skills/tree/main/skills/workoraiType 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 sickn33/agentic-awesome-skills --skill workorai -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills workorai --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/workorai .agents/skills/workorai && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "workorai" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/workorai into .agents/skills/workorai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workorai", 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 sickn33/agentic-awesome-skills --skill workorai -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills workorai --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/workorai .cursor/skills/workorai && 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 "workorai" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/workorai into .cursor/skills/workorai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workorai", 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/sickn33/agentic-awesome-skills.git --path skills/workorai--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 sickn33/agentic-awesome-skills --skill workorai -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills workorai --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/workorai .gemini/skills/workorai && 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 "workorai" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/workorai into .gemini/skills/workorai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workorai", 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 sickn33/agentic-awesome-skills workoraiInstalls 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 sickn33/agentic-awesome-skills --skill workorai -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/workorai .github/skills/workorai && 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 "workorai" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/workorai into .github/skills/workorai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workorai", 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 sickn33/agentic-awesome-skills --skill workorai -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills workorai --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/workorai .opencode/skills/workorai && 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 "workorai" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/workorai into .opencode/skills/workorai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workorai", 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.
Facts
- Skill name
workorai- GitHub stars
- 47k
- Used in
- 1 other repo
- Token cost
- ~1.3k tokens
- SKILL.md length
- 506 words
- Files
- 1
- Skills in repo
- 1,493
- Repo updated
- First seen
- Licence
- MIT
At a glance
WorkorAI talent-marketplace skill: candidates search jobs and manage applications; employers run the job lifecycle and get ranked candidate matches with white-box fit explanations.
- Works in 3 steps: Connect the MCP server → Route by role and intent → Explain matches with white-box data
- Business, Finance & HR work in your project
- SKILL.md covers Overview, When to Use This Skill, How It Works and Examples, plus 4 more sections
- Calls claude; reaches workorai.com
What it does
Workorai is an agent skill from sickn33/agentic-awesome-skills. WorkorAI talent-marketplace skill: candidates search jobs and manage applications; employers run the job lifecycle and get ranked candidate matches with white-box fit explanations.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Business, Finance & HR. It works with Model Context Protocol. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
When your agent uses it
- Business, Finance & HR work in your project
Example prompts
- “/workorai”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 680176d. 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
Shell commands in SKILL.md call:
claude
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
workorai.com
Also links to:
github.com
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
Workorai loads about 1.3k tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 506 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.
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 sickn33/agentic-awesome-skills at commit 680176d, republished under its MIT licence (© sickn33). 506 words, ~1,317 tokens.
Download SKILL.mdSave it as
.claude/skills/workorai/SKILL.md (or your agent's skills folder).- name
- workorai
- description
- WorkorAI talent-marketplace skill: candidates search jobs and manage applications; employers run the job lifecycle and get ranked candidate matches with white-box fit explanations.
- category
- productivity
- risk
- critical
- source
- community
- source_repo
- work0r-ai/agent-kit
- source_type
- community
- date_added
- 2026-07-03
- author
- work0r-ai
- tags
- job-search, hiring, recruiting, talent-marketplace, mcp
- tools
- claude, cursor, gemini
- license
- MIT
WorkorAI
Overview
WorkorAI is a talent marketplace exposed to agents through an MCP server
(streamable HTTP at https://workorai.com/mcp, listed on the official MCP
Registry as io.github.work0r-ai/workorai). This skill routes requests by
intent across the dual-role tool surface: 9 candidate.* tools (job search,
job detail, applications, apply, invitations, saved jobs) and the
employer.* tools (job lifecycle, candidate discovery, invitations,
applicant review). Employer candidate discovery returns tiered rankings
(best/good/weak) with a white-box match explanation per candidate — fit
score, skills proven in interview, gaps, and a quotable rationale — instead
of a black-box score.
When to Use This Skill
- Use when a user asks to find a job, search vacancies, apply to a position, or track their applications ("find me a job", "ищу работу").
- Use when an employer wants to post, publish, update, close, or archive a job on WorkorAI.
- Use when an employer asks to find, rank, compare, or evaluate candidates, or asks why a candidate matches a role.
- Use when a user needs to set up or troubleshoot the WorkorAI MCP connection and API key onboarding.
How It Works
Step 1: Connect the MCP server
Add the WorkorAI MCP server to your agent's MCP configuration. For Claude Code:
claude mcp add --transport http workorai https://workorai.com/mcpIf the user has no API key yet, call the request_access tool and follow
the onboarding it returns.
Step 2: Route by role and intent
Detect whether the request is a candidate flow or an employer flow, then use the matching tool group:
- Candidate:
candidate.search_jobs,candidate.get_job,candidate.apply_to_job,candidate.get_applications,candidate.accept_invitation/candidate.decline_invitation,candidate.withdraw_application,candidate.set_saved_job,candidate.get_saved_jobs. - Employer:
employer.create_job→employer.publish_job→employer.close_job/employer.archive_jobfor the lifecycle;employer.search_candidates_for_joboremployer.search_candidates_by_queryfor discovery;employer.invite_candidate,employer.list_applicants,employer.get_applicant_detail,employer.set_review_statusfor pipeline work.
Step 3: Explain matches with white-box data
When presenting employer search results, keep the tier structure
(best/good/weak) and surface each candidate's matchExplanation: fit score,
interview-proven skills, gaps, and rationale. For deeper comparison, fetch
per-candidate interview evidence with employer.get_candidate_evidence and
employer.get_applicant_transcript.
Show full SKILL.md (197 more words)Show less
Examples
Example 1: Candidate job search
User: "Find me remote TypeScript jobs and apply to the best one."
Agent: candidate.search_jobs(query="TypeScript", remote=true)
→ present ranked results → candidate.get_job(id)
→ confirm with the user → candidate.apply_to_job(id)Example 2: Employer candidate discovery
User: "Who are the best candidates for my Senior Backend role?"
Agent: employer.search_candidates_for_job(jobId)
→ report Best tier with each candidate's fit score, proven
skills, and gaps → employer.invite_candidate on approvalBest Practices
- ✅ Confirm with the user before applying, inviting, or changing job status — these are visible, stateful marketplace actions.
- ✅ Quote the white-box match explanation when recommending a candidate, so the employer sees why, not just a score.
- ✅ Use
request_accessfor key onboarding instead of asking users to paste credentials into chat. - ❌ Don't fabricate fit scores or ranks — only report what the tools return.
- ❌ Don't apply to jobs or send invitations in bulk without explicit user approval.
Limitations
- Requires a WorkorAI account and API key; tools fail without a valid key.
- This skill does not replace environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, or safety boundaries are missing.
Security & Safety Notes
- All operations go through the remote WorkorAI MCP server over HTTPS; the skill itself runs no shell commands.
- Mutating tools (apply, withdraw, invite, publish, close, delete) should be preceded by an explicit user confirmation.
- Treat API keys as secrets: store them in MCP client configuration, never in chat transcripts or committed files.
Additional Resources
- Source repository — full skill
with reference files and agents (npm:
@workorai/agent-kit) - WorkorAI MCP endpoint
© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/workorai of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit 680176d
Used in 1 other repository
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Workorai 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 |
|---|---|---|---|---|---|---|
| Workorai this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Creating Financial ModelsChen-zexi/open-ptc-agent | 729 | 3 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Stock APIzhangxiangliang/stock-api | 2k | — | ~507 | Automated safety check: Pass | MIT | |
| Tradingview MCPatilaahmettaner/tradingview-mcp | 5k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Dr Manhattanguzus/dr-manhattan | 204 | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Agentic Trading DeskOft3r/agentic-trading-desk | 306 | — | ~5.1k | Automated safety check: Pass | MIT |
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Related
Works with
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Questions about Workorai
What does Workorai do?
WorkorAI talent-marketplace skill: candidates search jobs and manage applications; employers run the job lifecycle and get ranked candidate matches with white-box fit explanations. Workorai is an agent skill from sickn33/agentic-awesome-skills. WorkorAI talent-marketplace skill: candidates search jobs and manage applications; employers run the job lifecycle and get ranked candidate matches with white-box fit explanations.
When should I use Workorai?
Workorai fits situations like: business, Finance & HR work in your project.
How do I install Workorai in Claude Code?
Run `npx skills add sickn33/agentic-awesome-skills --skill workorai -a claude-code`. Or copy the skill folder (skills/workorai in sickn33/agentic-awesome-skills) into .claude/skills/workorai in your project. Claude Code loads it when a task matches its description.
How do I install Workorai in Codex?
Run `npx skills add sickn33/agentic-awesome-skills --skill workorai -a codex`. Or copy the skill folder (skills/workorai in sickn33/agentic-awesome-skills) into .agents/skills/workorai in your project. Codex loads it when a task matches its description.
Can I use Workorai 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 sickn33/agentic-awesome-skills --skill workorai -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/workorai, .gemini/skills/workorai, .github/skills/workorai and .opencode/skills/workorai in your project.
What does Workorai need to run?
Going by SKILL.md and its folder, Workorai needs the command-line tools its instructions call (claude).
Does Workorai access the network?
SKILL.md names 2 domains. In commands or code: workorai.com; the agent is likely to contact it when it follows the instructions. As links in the text: github.com. This is read from the text; nothing was executed.
Is Workorai 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 Workorai use?
Workorai is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Workorai use?
About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Workorai?
Skills that share tags, products or a category with Workorai: Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars), Stock API (zhangxiangliang/stock-api, 2k stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars) and Dr Manhattan (guzus/dr-manhattan, 204 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Workorai?
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,379 GitHub stars. The repository holds 1,493 skills in this directory. The repository was last updated on October 9, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.