Xpersona

Crawler Summary

resume-tailor answer-first brief

Use when user provides JD and existing resume, expecting job-targeted optimization, ATS keyword alignment, language polishing, and delivery of a single-page A4 PDF resume. --- name: resume-tailor description: Use when user provides JD and existing resume, expecting job-targeted optimization, ATS keyword alignment, language polishing, and delivery of a single-page A4 PDF resume. --- Resume Tailor Skill Core Objectives - **ATS Hit Rate**: Cover high-frequency JD keywords while maintaining natural expression. - **Job Relevance**: Prioritize evidence chains and quantified results that best Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

Freshness

Last checked 2/22/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

resume-tailor is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 100/100

resume-tailor

Use when user provides JD and existing resume, expecting job-targeted optimization, ATS keyword alignment, language polishing, and delivery of a single-page A4 PDF resume. --- name: resume-tailor description: Use when user provides JD and existing resume, expecting job-targeted optimization, ATS keyword alignment, language polishing, and delivery of a single-page A4 PDF resume. --- Resume Tailor Skill Core Objectives - **ATS Hit Rate**: Cover high-frequency JD keywords while maintaining natural expression. - **Job Relevance**: Prioritize evidence chains and quantified results that best

OpenClawself-declared

Public facts

6

Change events

1

Artifacts

0

Freshness

Feb 22, 2026

Verifiededitorial-contentNo verified compatibility signals

Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

Schema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 22, 2026

Vendor

Zhangyinglun

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

View Source

Setup snapshot

git clone https://github.com/Zhangyinglun/resume-tailor-skill.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Zhangyinglun

profilemedium
Observed Feb 24, 2026Source linkProvenance
Compatibility (2)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 24, 2026Source linkProvenance

Auth modes

api_key

contracthigh
Observed Feb 24, 2026Source linkProvenance
Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh
Observed Feb 24, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

1

Snippets

0

Languages

typescript

Parameters

Executable Examples

markdown

Header
Summary
Technical Skills
Professional Experience
Education

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Use when user provides JD and existing resume, expecting job-targeted optimization, ATS keyword alignment, language polishing, and delivery of a single-page A4 PDF resume. --- name: resume-tailor description: Use when user provides JD and existing resume, expecting job-targeted optimization, ATS keyword alignment, language polishing, and delivery of a single-page A4 PDF resume. --- Resume Tailor Skill Core Objectives - **ATS Hit Rate**: Cover high-frequency JD keywords while maintaining natural expression. - **Job Relevance**: Prioritize evidence chains and quantified results that best

Full README

name: resume-tailor description: Use when user provides JD and existing resume, expecting job-targeted optimization, ATS keyword alignment, language polishing, and delivery of a single-page A4 PDF resume.

Resume Tailor Skill

Core Objectives

  • ATS Hit Rate: Cover high-frequency JD keywords while maintaining natural expression.
  • Job Relevance: Prioritize evidence chains and quantified results that best match the position.
  • Delivery Quality: Output A4 PDF with extractable text and pass format quality checks.

Inviolable Principles

  • No Fabrication: Only rewrite, rearrange, compress—no fictional experience/tech/data.
  • Review Before Export: Must provide complete review draft and obtain explicit approval before export.
  • Pass Volume Gate Before Review: Reduce content to target length first, then show full text to user.
  • One Question at a Time: Only one decision point per round, use question tool.
  • ATS Friendly: No table-based main layout, no images replacing body text, no key info in headers/footers.
  • Fixed A4 + Single Page: Default delivery 210mm x 297mm, 1 page.
  • PDF Only Delivery: Final output is PDF only.
  • Call pdf skill before PDF actions: Execute before initial generation, minor regeneration, or final export.
  • Auto-fit Scope: Automatic tuning may adjust layout parameters only; it must not rewrite resume content unless user explicitly asks.

Stateless Boundary (Mandatory)

  • resume-tailor skill directory can only store "rules + templates + scripts + references".
  • No personalized cache (user preferences, historical JDs, contact info, resume samples) in skill directory.
  • Unified directories (relative to workspace):
    • resume_output/: Latest PDF
    • resume_output/backup/: Historical PDF backups
    • cache/user-profile.md: Long-term preference cache
    • cache/resume-working.json: Current session resume body

Minimum Execution Flow

  1. Session Startup Cleanup: scripts/resume_cache_manager.py reset
  2. Read Template Resume: template-check → template-show (if not exists, then template-init)
  3. Direction/JD Diagnosis:
    • With JD: Output P1/P2/P3 matches and gaps.
    • Without JD: Build keyword pool from target direction (e.g., SDE + AI engineering + Data Platform) and produce P1/P2/P3 focus map.
  4. Iterative Updates: Only change 1 decision point per round, update after confirmation
  5. Volume Gate: First reduce to single-page target, then output full review text
  6. QA + Dehumanization: Call humanizer, complete structure/quantification/ATS checks
  7. PDF Generation and QC: After user approval, call pdf and generate, detect, re-adjust if needed
  8. Wrap-up: Update profile cache, keep working cache as baseline for future sessions

Complete checklist and thresholds in references/execution-checklist.md.

Fixed Template Baseline (Logical Structure)

Always organize content in the following module order:

Header
Summary
Technical Skills
Professional Experience
Education

Script Responsibility Boundaries

  • scripts/resume_cache_manager.py: Manage cache/resume-working.json reset/init/update/show (cleanup only manual as needed), and cache/base-resume.json template-init/template-use/template-show/template-check.
  • scripts/generate_final_resume.py: Accept --input-json, optionally --auto-fit, and generate final PDF.
  • scripts/check_pdf_quality.py: Perform general format and text quality checks.
  • templates/modern_resume_template.py: Only responsible for PDF layout and export.

Dependent Skills

  • docx: Read .docx resumes
  • pdf: Read PDFs, execute all PDF generation and recheck actions
  • humanizer: Remove AI traces, enhance natural expression

Agent Installation and Auto-Execution Entry

  • Master installation entry: docs/guide/installation.md
  • Machine-readable manifest: install/agent-install.yaml
  • OpenCode command entry: .opencode/command/install-skill-deps.md

Reference Materials

  • Full process checklist and thresholds: references/execution-checklist.md
  • ATS strategy: references/ats-keywords-strategy.md
  • Prompt templates: references/prompt-recipes.md
  • Profile cache template: references/profile-cache-template.md
  • Working cache structure: references/resume-working-schema.md
  • Template instructions: templates/README.md

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

Verifiedcapability-contract

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

ready

Auth

api_key

Streaming

No

Data region

global

Protocol support

OpenClaw: self-declared

Requires: openclew, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.
Trust confidence is not low and verification freshness is acceptable.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/zhangyinglun-resume-tailor-skill/snapshot"
curl -s "https://xpersona.co/api/v1/agents/zhangyinglun-resume-tailor-skill/contract"
curl -s "https://xpersona.co/api/v1/agents/zhangyinglun-resume-tailor-skill/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Agent hubMore from this sourceOpenClaw agents
Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "api_key"
  ],
  "requires": [
    "openclew",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/Zhangyinglun/resume-tailor-skill#input",
  "outputSchemaRef": "https://github.com/Zhangyinglun/resume-tailor-skill#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:43:58.738Z",
  "sourceUpdatedAt": "2026-02-24T19:43:58.738Z",
  "freshnessSeconds": 4436015
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/zhangyinglun-resume-tailor-skill/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/zhangyinglun-resume-tailor-skill/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/zhangyinglun-resume-tailor-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/zhangyinglun-resume-tailor-skill/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/zhangyinglun-resume-tailor-skill/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/zhangyinglun-resume-tailor-skill/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T03:57:34.154Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "only",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:only|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/zhangyinglun-resume-tailor-skill/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/zhangyinglun-resume-tailor-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:58.738Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "api_key",
    "href": "https://xpersona.co/api/v1/agents/zhangyinglun-resume-tailor-skill/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/zhangyinglun-resume-tailor-skill/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:43:58.738Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/Zhangyinglun/resume-tailor-skill#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/zhangyinglun-resume-tailor-skill/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:43:58.738Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Zhangyinglun",
    "href": "https://github.com/Zhangyinglun/resume-tailor-skill",
    "sourceUrl": "https://github.com/Zhangyinglun/resume-tailor-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/zhangyinglun-resume-tailor-skill/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/zhangyinglun-resume-tailor-skill/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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Ads related to resume-tailor and adjacent AI workflows.