Agent skill

Candidate Talent Pool

by sickn33 in sickn33/agentic-awesome-skills

Candidate and prospect pool: contact details, experience, skills, consent status and date, referral source and last contact.

MITAuto-check passedDocuments & Office

Install Candidate Talent Pool

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill candidate-talent-pool -a claude-code

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

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills candidate-talent-pool --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/candidate-talent-pool .claude/skills/candidate-talent-pool && 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
candidate-talent-pool
GitHub stars
47k
Used in
1 other repo
Token cost
~4.2k tokens
SKILL.md length
1,705 words
Files
1
Skills in repo
1,497
Repo updated
First seen
Licence
MIT

At a glance

Candidate and prospect pool: contact details, experience, skills, consent status and date, referral source and last contact.

  • Works in 5 steps: Identify intent → Ask only what is missing → Hold the internal context → …
  • Talent pipelines and re-engagement
  • SKILL.md covers Overview, When to Use This Skill, How It Works and Field Reference, plus 10 more sections
  • Reaches json-schema.org

What it does

Candidate Talent Pool is an agent skill from sickn33/agentic-awesome-skills. Candidate and prospect pool: contact details, experience, skills, consent status and date, referral source and last contact. Use for talent pipelines and re-engagement.

Its SKILL.md is about 4.2k 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 Documents & Office. 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

  • Talent pipelines and re-engagement

Example prompts

  • “/candidate-talent-pool”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Identify intent
  2. Ask only what is missing
  3. Hold the internal context
  4. Recommend the smallest workflow
  5. Build only on request

What it can do on your machine

Read from SKILL.md and the folder at commit b84d35a. 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 yaml, csv, sql, json and markdown).

    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:

    • json-schema.org

    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

Candidate Talent Pool loads about 4.2k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 1,705 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~4.2k

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 b84d35a, republished under its MIT licence (© sickn33). 1,705 words, ~4,222 tokens.

Download SKILL.mdSave it as .claude/skills/candidate-talent-pool/SKILL.md (or your agent's skills folder).
name
candidate-talent-pool
description
Candidate and prospect pool: contact details, experience, skills, consent status and date, referral source and last contact. Use for talent pipelines and re-engagement.
category
business
risk
safe
source
self
source_type
self
date_added
2026-09-26
author
WHOISABHISHEKADHIKARI
tags
sme, business, operations, database, csv, notion, sql, acquire
source_repo
WHOISABHISHEKADHIKARI/sme-ops-system-builder

Candidate Talent Pool

What it is: Prospect database.

Overview

Works out the smallest useful Candidate Talent Pool setup for the business in front of it, then builds it only when asked. The default output is a short recommendation, not a spreadsheet. Artifacts - CSV, SQL DDL, JSON Schema, Notion mapping - are produced on request, from one field list so they cannot drift apart.

Layer: Layer 2: Acquire. Fits: Growth stage. Table code: n/a.

When to Use This Skill

  • talent pool database
  • candidate tracker
  • recruiter pipeline spreadsheet
  • keep candidates warm

Also use it when the user says "prospect database", or describes the same process happening in a spreadsheet, a document or someone inboxes.

Do not use it for: payroll calculation, tax filing, or legal advice. This skill produces empty templates only - it never holds or processes real employee or customer data.

How It Works

Follow the shared execution contract. The module-specific rules below define only domain fields, decisions, calculations, and safety constraints.

Step 1 - Identify intent

Read the request and pick the intent before asking anything.

  • "set up" or "build" or "create" -> the user wants artifacts; go to Step 2.
  • "our process is ..." or "it is in a sheet" -> the user wants to move an existing process; capture it, then Step 2.
  • "is this right" or "review" or "audit" -> the user wants a check, not a build; answer from what they share.
  • "how do I ..." -> advice question; answer directly and offer the build only if it helps.

Ask only if this is the highest-value missing fact; otherwise proceed without an opener:

Q: Which roles do you hire for?

Step 2 - Ask only what is missing

Skip anything the user already answered, in any earlier message. Ask the rest one at a time, and stop as soon as the remaining answers would not change the output.

  • Roles - Which roles? / How many open? / Any hard-to-fill roles?
  • Pipeline - How do you find people now? / Referrals or inbound? / Keep rejects warm?
  • Pool - How long to keep? / Contact allowed? / Consent to re-engage?
  • Current process - Where do CVs sit now? / Spreadsheet or inbox? / How many in the pool?
  • Outcome - What do you need? / A pool, a tracker or alerts?

Never invent an answer. If the user does not know, record it as unknown and carry on.

Step 3 - Hold the internal context

Hold the answers in this shape. It stays internal - it is not shown to the user unless they ask, and it never carries a value the user did not give.

yaml
module: candidate-talent-pool
intent: null            # setup | advice | review | fix | build | convert | export
scale: null             # Starter | Growth | Scale, only if the answer changes it
areas:
  "Roles": null
  "Pipeline": null
  "Pool": null
  "Current process": null
  "Outcome": null
requested_outputs: []   # csv | sql | json | notion | xlsx - requested formats only
confirmed_facts: []     # only what the user actually said
open_questions: []      # the unanswered ones, in the order worth asking
Step 4 - Recommend the smallest workflow

If an artifact was requested, build it after resolving essential missing facts. Otherwise give a short recommendation and offer the relevant artifact.

Recommended approach: Keep a warm pool with consent and a re-engage date. It is a contact list with a purpose, not a resume archive.

Why this one: Rejected candidates are the cheapest hiring source you have, and the most commonly thrown away. Consent and a re-engage date are what make it reusable.

Workflow: Candidate added → Consent → Re-engage date → Reminder → Reopen role

Re-engagement gate: a candidate may carry a Re-engage Date only when Consent Status is Granted. If consent was never recorded, leave Re-engage Date empty, set Consent Status to Not recorded, and tell the user how many candidates are blocked on it. Do not infer consent from a role being open, from the candidate replying once, or from their CV being on file. Declined is final: never re-contact, and never quietly reset it to Not recorded to make a re-engagement list longer.

Step 5 - Build only on request

Once the user asks for it, derive the fields from the confirmed context and emit the requested artifacts. For machine-readable text, keep prose outside the data; for files, provide a usable link. Report material validation failures or limitations separately.

A selected Notion output is rendered by notion-manual-import, so route the Notion step there. When the user selects Notion, hand that step to @notion-manual-import: it holds the CSV, the property mapping, the import steps and the verification checklist, and it renders the Field Reference below instead of defining a table of its own. Do not restate the mapping here and do not improvise the import steps. Manual CSV and mapping outputs need no connection. For requested workspace changes, follow the shared contract: verify actual tool access and the target before writing. A user saying "connected" is not tool evidence. Never ask for a Notion password or token.

For an Excel-compatible CSV, use UTF-8 with a byte order mark so Excel opens the text correctly. A CSV is not an .xlsx workbook; create .xlsx only when the user requests a workbook. A CSV carries no types, so after it, name the columns that need a number, date or currency format applied.

csv
Candidate Name,Candidate ID,Department,Email,Experience (Years),Last Contact,LinkedIn URL,Notes,Phone,Consent Status,Consent Date,Re-engage Date,Referred By,Skills,Source,Status,Target Role
Example Person,,Delivery,person@example.com,6,2026-01-20,https://example.com/in/example-person,Went cold in February after a counter-offer; worth re-approaching in six months.,+91 98xxxxxx21,Granted,2026-01-05,2026-07-01,Example Referrer,"Python, SQL, Stakeholder Management",Referral,Active,Delivery Manager
sql
CREATE TABLE candidate_talent_pool (
  candidate_name VARCHAR(255),
  candidate_id SERIAL PRIMARY KEY,
  department VARCHAR(255),
  email VARCHAR(255),
  experience_years NUMERIC NOT NULL,
  last_contact DATE NOT NULL,
  linkedin_url TEXT,
  notes TEXT,
  phone VARCHAR(255),
  consent_status VARCHAR(100) NOT NULL,
  consent_date DATE,
  re_engage_date DATE,
  referred_by VARCHAR(255),
  skills VARCHAR(255),
  source VARCHAR(255),
  status VARCHAR(100) NOT NULL,
  target_role VARCHAR(255),
  created_at TIMESTAMP DEFAULT NOW(),
  updated_at TIMESTAMP DEFAULT NOW(),
  -- Re-engage lists are only lawful for recorded consent.
  CHECK (consent_status IN ('Not recorded', 'Granted', 'Declined')),
  CHECK (consent_status = 'Granted' OR re_engage_date IS NULL)
);

CREATE INDEX idx_candidate_talent_pool_status ON candidate_talent_pool (status);
CREATE INDEX idx_candidate_talent_pool_re_engage_date ON candidate_talent_pool (re_engage_date);
json
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "title": "Candidate Talent Pool",
  "type": "object",
  "additionalProperties": false,
  "properties": {
      "Candidate Name": { "type": "string" },
      "Candidate ID": { "type": "integer" },
      "Department": { "type": "string" },
      "Email": { "type": "string", "format": "email" },
      "Experience (Years)": { "type": "number" },
      "Last Contact": { "type": "string", "format": "date" },
      "LinkedIn URL": { "type": "string", "format": "uri" },
      "Notes": { "type": "string" },
      "Phone": { "type": "string" },
      "Consent Status": { "type": "string" },
      "Consent Date": { "type": "string", "format": "date" },
      "Re-engage Date": { "type": "string", "format": "date" },
      "Referred By": { "type": "string" },
      "Skills": { "type": "string" },
      "Source": { "type": "string" },
      "Status": { "type": "string" },
      "Target Role": { "type": "string" }
  },
  "required": [
      "Experience (Years)",
      "Last Contact",
      "Consent Status",
      "Status"
  ]
}
markdown
| CSV column | Notion property | Set after import |
|---|---|---|
| Candidate Name | Title | Use as the database title |
| Candidate ID | Text (preserve source ID) | Keep imported IDs as Text; optionally add a separate Unique ID property |
| Department | Text | Leave as Text |
| Email | Email | Convert to Email |
| Experience (Years) | Number | Convert to Number |
| Last Contact | Date | Convert to Date |
| LinkedIn URL | URL | Convert to URL |
| Notes | Text | Leave as Text |
| Phone | Text | Leave as Text |
| Consent Status | Select (add options after import) | Convert to Select, add options: "Not recorded", "Granted", "Declined" |
| Consent Date | Date | Convert to Date |
| Re-engage Date | Date | Convert to Date, but only for rows where Consent Status is "Granted" |
| Referred By | Text | Leave as Text |
| Skills | Text | Leave as Text |
| Source | Text | Leave as Text |
| Status | Select (add options after import) | Convert to Select, add options: "Active", "Contacted", "Interested", "Not Now", "Closed" |
| Target Role | Text | Leave as Text |

The rows above are documentation examples only. Emit empty templates unless the user explicitly requests examples. Money stays currency, dates stay date, and anything pointing at another table stays relation.

Field Reference

#FieldTypeSQLJSON SchemaNotionCSV example
1Candidate NametextVARCHAR(255)stringTextExample Person
2Candidate IDidSERIAL PRIMARY KEYintegerText (preserve source ID)(blank)
3DepartmenttextVARCHAR(255)stringTextDelivery
4EmailemailVARCHAR(255)string, format: emailEmailperson@example.com
5Experience (Years)numberNUMERICnumberNumber6
6Last ContactdateDATEstring, format: dateDate2026-01-20
7LinkedIn URLurlTEXTstring, format: uriURLhttps://example.com/in/example-person
8Noteslong_textTEXTstringTextWent cold in February after a counter-offer; worth re-approaching in six months.
9PhonetextVARCHAR(255)stringText+91 98xxxxxx21
10Consent StatusselectVARCHAR(100)stringSelect (add options after import)Granted
11Consent DatedateDATEstring, format: dateDate2026-01-05
12Re-engage DatedateDATEstring, format: dateDate2026-07-01
13Referred BytextVARCHAR(255)stringTextExample Referrer
14SkillstextVARCHAR(255)stringTextPython, SQL, Stakeholder Management
15SourcetextVARCHAR(255)stringTextReferral
16StatusselectVARCHAR(100)stringSelect (add options after import)Active
17Target RoletextVARCHAR(255)stringTextDelivery Manager

Select Options

Consent Status

Not recorded | Granted | Declined

Only Granted unlocks a Re-engage Date. A verbal yes on a call is not recorded consent — record Not recorded and say why, so the gap stays visible instead of becoming a silent yes.

Status

Active | Contacted | Interested | Not Now | Closed
Show full SKILL.md (668 more words)Show less

Relations

Link fields: none

Examples

Prompt

We keep losing good candidates we rejected 6 months ago.

Context first - one question per message, nothing already answered:

Q: Which roles? A: Delivery and support.

Q: How long to keep? A: 12 months.

Q: Do you have consent? A: Not written down.

Recommended next step - offered, not built:

Keep a warm pool with consent and a re-engage date. It is a contact list with a purpose, not a resume archive.

Workflow: Candidate added → Consent → Re-engage date → Reminder → Reopen role

Want the CSV, SQL, JSON Schema and Notion mapping for this?

Best Practices

  • Build when requested; recommend and offer a build for advice-only requests.
  • One question per message. A batched intake reads as a form and gets guessed at.
  • Keep display names identical across CSV and JSON; document normalized SQL identifiers.
  • Use relation for anything that points at another table, text only for free text.
  • Money fields are currency, never text. Dates are date, never free text.
  • If the user requests an example row, keep it obviously fake so nobody imports it as real data.

Limitations

  • Empty template only. It does not compute payroll, tax, leave balances or KPIs.
  • Notion relations need both databases imported before the link column resolves.
  • Select options are a starting set. Rename them to match how the business talks.
  • No automation, reminders or sync. Those need the integration layer.
  • Does not source candidates or send outreach on your behalf.
  • Legal, tax and HR review is still required before this drives real decisions.

Security & Safety Notes

  • Never fill in real names, salaries, medical or banking data. Placeholders only.
  • Label example rows as synthetic, and keep bank details masked.
  • Local reads, generation commands, and validation are part of a requested artifact build. External writes, messages, provisioning, and publication require authorization for that action and target; existing explicit authorization does not need to be repeated.
  • If sensitive data is supplied, avoid repeating unnecessary identifiers. Use only what the requested review needs; keep generated templates empty. Do not claim deletion from the conversation or service storage.
  • Privacy, legal and disciplinary cases need a qualified human reviewer before anything is acted on.
  • Consent to re-contact a rejected candidate is a legal question, not a data field you can infer. Record only what the candidate actually agreed to, and route the decision to a human.

Common Pitfalls

  • Problem: a static mapping is described as a completed workspace build. Solution: deliver manual mappings without a connection; claim a live change only after the authorized tool operation succeeds.
  • Problem: asked all six questions in one message. Solution: ask one, wait, and drop any the first answer already covered.
  • Problem: built a full system when one table was asked for. Solution: build what was requested; mention the parent skill separately.
  • Problem: all four artifacts drift apart. Solution: derive all four from the field list in this file, never by hand.
  • Problem: Notion import shows every column as Text. Solution: that is expected. Apply the property mapping table once, after import.
  • Problem: a re-engagement list built from a pool with no recorded consent. Solution: the list is unlawful, not just untidy. Block on Consent Status and report the count instead of emitting dates.

Store only the candidate information needed for the stated recruiting purpose. Record consent source, scope, date, expiry or review date, communication preference, and lawful retention basis separately from skills and stage. A referral or public profile is not blanket consent for every future role; ask before re-engaging outside the confirmed scope.

Restrict access by recruiting need, keep rejection reasons factual and job-related, and never encode protected characteristics or inferred health, family, or immigration details. When a candidate asks to withdraw, mark the request and stop outreach while preserving only the minimum audit evidence required by policy. A pool status is administrative metadata, not a quality or employability score.

  • Module Catalog - find the relevant module, then read its skill.
  • @people-directory - the employee master record most modules link to.
  • @notification-reminder-hub - turns due dates in this module into reminders.

Reusable Prompt

I want to set up prospect database for my company.
Ask me one short question at a time, and only about what I have not already told you.
Then recommend the smallest setup that fits, and wait for me to ask before you build it.
When I ask, output CSV, SQL DDL, JSON Schema, a Notion property mapping or an Excel workbook. Data only.

© 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/candidate-talent-pool of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit b84d35a

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

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Questions about Candidate Talent Pool

What does Candidate Talent Pool do?

Candidate and prospect pool: contact details, experience, skills, consent status and date, referral source and last contact. Candidate Talent Pool is an agent skill from sickn33/agentic-awesome-skills. Candidate and prospect pool: contact details, experience, skills, consent status and date, referral source and last contact.

When should I use Candidate Talent Pool?

Candidate Talent Pool fits situations like: talent pipelines and re-engagement.

How do I install Candidate Talent Pool in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill candidate-talent-pool -a claude-code`. Or copy the skill folder (skills/candidate-talent-pool in sickn33/agentic-awesome-skills) into .claude/skills/candidate-talent-pool in your project. Claude Code loads it when a task matches its description.

How do I install Candidate Talent Pool in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill candidate-talent-pool -a codex`. Or copy the skill folder (skills/candidate-talent-pool in sickn33/agentic-awesome-skills) into .agents/skills/candidate-talent-pool in your project. Codex loads it when a task matches its description.

Can I use Candidate Talent Pool 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 candidate-talent-pool -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/candidate-talent-pool, .gemini/skills/candidate-talent-pool, .github/skills/candidate-talent-pool and .opencode/skills/candidate-talent-pool in your project.

What does Candidate Talent Pool need to run?

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

Does Candidate Talent Pool access the network?

SKILL.md names 1 domain. In commands or code: json-schema.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Candidate Talent Pool 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 Candidate Talent Pool use?

Candidate Talent Pool is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Candidate Talent Pool use?

About 4.2k tokens (SKILL.md is roughly 17k 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 Candidate Talent Pool?

Skills that share tags, products or a category with Candidate Talent Pool: Markdown Article Formatter (JimLiu/baoyu-skills, 27k stars), Markitdown (ImCa0/just-laws, 781 stars), Obsidian Markdown (Atmosphere/atmosphere, 3.8k stars) and DOCX (rvdbreemen/OTGW-firmware, 207 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Candidate Talent Pool?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 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.