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SKILL verified MIT Self-run

Project To Pdf Resume

skill-sigfied-project-to-pdf-resume-skill-project-to-pdf-resume · by Sigfied

Use when turning one or more local project folders into an evidence-backed technical resume, resume bullets, LaTeX source, or rendered PDF, especially when code architecture and user-confirmed outcomes must be separated.

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Install

$ agentstack add skill-sigfied-project-to-pdf-resume-skill-project-to-pdf-resume

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Project To PDF Resume

Overview

Create a technical resume from local project folders without inventing impact. Use code evidence for architecture, features, stack, and implementation details; use user confirmation for outcomes, scale, ownership, production results, and business value.

The default output is an evidence-backed resume package: project evidence notes, a claim ledger, outcome questions, polished bullets, source document updates, and a verified PDF when requested.

Progressive Reference Loading

Start with this SKILL.md only. Load bundled references only when the current task reaches the stage that needs that detail; do not preload every reference at the start.

| When the task needs... | Read this reference | | --- | --- | | Stage routing, deliverable overview, or stop conditions | [references/workflow.md](references/workflow.md) | | Intake, project type scanning, code inventory, or first evidence directory | [references/intake-and-scan.md](references/intake-and-scan.md) | | Evidence package artifacts, Markdown evidence docs, JSON metadata/index, claim ledger schema, or traceability rules | [references/evidence-package.md](references/evidence-package.md) | | Architecture synthesis, target-role track selection, material organization, or draft gates | [references/architecture-and-materials.md](references/architecture-and-materials.md) | | Outcome interview questions, claim wording, bullet drafting, or final resume copy review | [references/interview-and-writing.md](references/interview-and-writing.md) | | Source document creation, LaTeX-first PDF production, compilation, rendering, or visual QA | [references/pdf-production.md](references/pdf-production.md) | | Compact Chinese technical resume layout, or a user-provided PDF/TEX layout sample that should guide the final PDF | [references/layout-reference.md](references/layout-reference.md) |

For Simplified Chinese work, load the matching .cn.md counterpart at the same stage.

After reading a reference, apply only the guidance relevant to the current stage, then return to the required flow below.

Required Flow

  1. Confirm inputs and target.
  • Identify the project folders, target role, seniority, resume language, and expected output: notes, resume bullets, source document, PDF, or all of them.
  • If the target is unclear, infer a tentative direction from folder names and existing resume files, then state the assumption.
  • Preserve private context in task outputs only. Do not copy private project names, company names, file paths, or business details into reusable skill documentation.
  1. Inventory code before writing.
  • First inspect dominant file types and manifests to classify the project type: backend, frontend, data pipeline, mobile app, CLI/tooling, library, infrastructure, or mixed.
  • Use that classification to choose the first files to read instead of treating every repository the same.
  • Traverse each project folder with rg --files, find, manifests, README files, config files, and entrypoints.
  • Read high-signal files: routes, controllers, handlers, services, repositories, jobs, workers, queue/cache code, SQL/query builders, schema or migration code, tests, and deployment files.
  • Build a source-of-truth evidence package before writing resume claims.
  1. Build an evidence package.
  • For every project, record role positioning, stack, core modules, request/data flow, technical highlights, implementation details, and evidence files.
  • Use Markdown for detailed evidence descriptions and JSON for package metadata/indexes: project index, file evidence index, project evidence card, claim ledger, outcome question backlog, and resume bullet candidate pool when the project has enough substance.
  • Label each claim as Code evidence, Reasonable inference, or Needs user confirmation.
  • Treat ownership, scale, production usage, metrics, business value, cost savings, and performance gains as Needs user confirmation unless they are explicitly documented.
  • Separate reusable project notes from final resume copy so the same evidence can support multiple role-specific resumes.
  1. Ask for missing outcomes.
  • Ask after the code evidence pass, not before.
  • Keep questions short and grounded in observed project behavior.
  • Prefer questions about production usage, users, scale, reliability, performance, cost, migration, automation, and the candidate's actual responsibility.
  • Ask for exact wording permission when claims may reveal confidential customers, internal systems, or sensitive metrics.
  1. Draft resume material.
  • Match the user's requested language; otherwise use the language of the existing resume.
  • Convert evidence into action + method + result bullets.
  • Rank bullets by target-role relevance, technical depth, and confirmed outcome strength.
  • Keep uncertainty visible in notes; remove unresolved claims from final bullets.
  1. Produce and verify the PDF when requested.
  • Prefer LaTeX for final resume typesetting because it gives stable typography, compact layout control, repeatable builds, and strong PDF output.
  • Reuse an existing non-LaTeX source only when it is already the user's canonical resume workflow or the user requests that format.
  • Generate or update the source document, compile/render the PDF, inspect page count, render pages to images when possible, and check spacing, overflow, section balance, and font rendering.
  • Iterate until the PDF is readable, compact, and truthful.

Rules

  • Do not include private project details in reusable skill documentation.
  • Do not infer business impact from code alone.
  • Prefer project-specific implementation details over generic stack lists.
  • Keep uncertainty visible until the user confirms it.
  • Preserve existing resume style unless the user asks for a redesign.
  • Verify rendered output before claiming a PDF is complete.
  • If a claim cannot be verified from code, docs, or user confirmation, keep it out of the final resume.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.