Execute qualquer Skill no Manus
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Execute qualquer Skill no Manus com um clique

job-search

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Atualizado19 de julho de 2026 às 23:10

Set up, check on, and steer the user's job search — the front door and home screen. Use when they want to start or set up a job search, see status, matches, the latest digest, or the pipeline, or change what they're looking for — "set up job search", "start my job search", "I'm looking for a new job", "check my job search", "show me my matches", "what's new in my pipeline", or /job-search. First run reaches real live matches fast — a one-question sketch, then live postings — with no setup ceremony; afterward it shows the job-search home with quick actions. Not for a fresh headless pull ("check for new jobs" → job-search-run) or for configuring/troubleshooting the agent itself (→ job-search-agent).

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agent-data

agent-data/job-search

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Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Especialistas em gestão de projetosNegócios e Operações Financeiras·SOC 13-1082

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SKILL.md

readonly

name

job-search

description

job-search

To configure, extend, customize, or troubleshoot the agent itself (or understand its capabilities), use the job-search-agent skill — the operator manual.

The OS shell for Job Search OS — the front door you run when you want to set the system up or check on it. Mental model: this skill is the login shell + home screen; the registry is the OS state that remembers your workspace and schedule; job-search-run is the scheduled job that pulls and judges postings; job-preference-interview is the tool that builds the brief the runner reads. You drive everything from here and delegate the heavy lifting to those skills.

Not the place for a non-interactive run — that's job-search-run — or for changing the system's wiring, which is job-search-agent's manual (see the note above).

This skill has two modes and almost no logic of its own — it routes, then follows a playbook:

First run → walk the user through onboarding end-to-end, ending with real, relevance-judged matches.
Returning → show the job-search home (latest digest, new matches, pipeline) with conversational quick actions.

Find the workspace with the Discovery procedure in ../../shared/references/internals.md (one fact-gathering command, then its precedence rules); never hard-code its path.

Step 0 — route

Run the Discovery procedure (../../shared/references/internals.md) → a workspace, first_run yes/no, and a source (registry | default | legacy | none).

first_run: true → say the welcome, then follow references/onboarding.md (the first-run playbook). Greet the moment discovery reports first_run: true — emit the welcome as a message now, before your next tool call: before you open the playbook, before any check, long before the end of the turn. The pull to defer it is strong — finish the silent prep, batch the talking into one final message. Resist it: that batching is this skill's known failure mode, and whatever goes wrong next (a failed check, a blocked install) must land on a user who has already been greeted and told what's happening. About to run a tool without having greeted? Stop — greet first. The welcome — hit these beats in your own words (a warm one-liner: you'll set up their search together and end on real matches found live), e.g.:

"Let's set up your job search. I'll check a couple of prerequisites, make you a private workspace, learn what you're looking for, save your first search, and then actually pull live postings and show you the matches."

Onboarding owns the workspace and tells the delegated skills where to write.
first_run: false → follow references/home.md (the returning-user home). Gather its state silently; the home view itself is your first words.

That's the whole router. Everything else is in the two playbooks; read the one you routed to and follow it. Step 0 is mechanical — do it silently: no "discovery" / "OS state" / registry / first_run talk in your reply (../../shared/references/voice.md). Your first user-facing words are the onboarding welcome (already said, above, before the playbook was opened) or the home view.

Principles (apply in both modes)

Conversational-first configuration. The user changes anything — a query, how often it runs, their preferences, the schedule — by chatting with you. You apply it by reading <workspace>/config.yaml, editing it minimally (preserving comments and structure), and writing it back, following the recipes in ../../shared/references/internals.md. Hand-editing files is an escape hatch you mention only if asked — never a step you require.
Relevance is qualitative. Say relevant or not, and if relevant weak / moderate / strong, always with plain-language reasoning; a preference's importance lives in which bucket it sits in, not in math. A fit score, a 0-to-100 scale, per-criterion points, or a category weight never lands in a digest, the brief, or the job log — the one exception is a number a user explicitly asks for in chat, which you may give in that reply but never save to an artifact.
Frequency, in human terms. You tune the system by how often to pull — hourly, daily, weekly.
Every blocked path is a named error. If something can't proceed (no CLI, no auth, no config, no brief, quota, service down…), name the exact E-* from ../../shared/references/errors.md with its cause + fix wording and stop there. No silent failures, ever.
Never clobber real user data. When adopting an existing workspace, only additively create what's missing — never overwrite a config.yaml, preferences.md, or jobs.jsonl. See the never-clobber rule in ../../shared/references/internals.md.
Route feedback to the right scope. When the user reacts — to a match, the digest, or what they want overall — apply it immediately at the correct scope and confirm in one line: a clear general preference edits the brief and, if a run is in flight, records a brief revision on it; a posting-specific reaction touches only pipeline state unless the user generalizes it; ambiguous feedback earns one clarification only when the reading changes the result; a retrieval change previews its agent-data impact first. The single routing table is references/home.md → Applying your feedback — follow it in both modes (it points one hop at the run-lifecycle.md revision/settling and internals.md usage contracts).

Read and follow exactly: ../../shared/references/internals.md (OS state, discovery, never-clobber adoption, config recipes, and the verbatim scheduling block), ../../shared/references/conventions.md (workspace layout, config.yaml schema, jobs.jsonl statuses, digest format + counts line), ../../shared/references/errors.md (every named error), ../../shared/references/voice.md (how every reply talks to the user — plain English, zero-context first-run asks, render documents inline), ../../shared/references/update.md (cached update signal + update banner), and ../../shared/references/agent-data-contract.md (the source contract job-search-run honors), plus ../../shared/references/run-lifecycle.md (invoke lifecycle-fold.sh and require closed=true for the candidate's exact run_id before any record/digest is surfaced or a canary is trusted). These are the source of truth; this skill never restates their details from memory.

Mais deste repositório

mesmo repositório

job-search-agent

agent-data/job-search

The operator manual for the Job Search Agent — configure, customize, extend, or troubleshoot the agent itself, or explain how it works. Use when the user asks how the agent works, why a run failed, what it can do, or how to change its behavior — a query, schedule, recency, review depth, usage, detail-read model, or parallel reads — "how does my job search agent work", "explain my agent-data usage", "why did the run fail", "how do I change/add/customize …", "change how often it runs". Not for daily use — onboarding, the home view, and running a search are job-search; the search pass itself is job-search-run.

2026-07-1919

job-search-run

agent-data/job-search

Run one headless, non-interactive job-search pass that finds and judges new postings and writes a digest. Use to run the scheduled search, check for new jobs, or to run a search on demand — "run a job search now", "pull jobs now", "do a fresh search", or when invoked by a schedule. (For interactive setup or the home view, use job-search; for a single pasted posting, use evaluate-job-fit.)

2026-07-1819

job-preference-interview

agent-data/job-search

Build, refine, deepen, or import the user's Job Preferences Brief at a depth they choose — a quick free-form sketch (~1 question), a standard interview, or a thorough pass — producing a prose preferences.md (Summary, Must-haves/dealbreakers, Strong preferences, Nice-to-haves, Red flags). Use when the user wants to define or change what they want in a job, or to go deeper than a first-run quick sketch — "set up my job preferences", "what I want in a job", "redo my preferences interview", "change my must-haves", "make my brief more thorough", "import my preferences brief". Not the front door or home view (→ job-search), and not for judging a specific posting (→ evaluate-job-fit).

2026-07-1719

evaluate-job-fit

agent-data/job-search

Judge whether a single job posting matches the user's Job Preferences Brief — relevant or not, and if relevant a weak/moderate/strong match — with plain-language reasoning, dealbreakers, and unknowns. Use when the user pastes or references a job posting and asks if it fits their preferences, whether to apply, or how good a match it is, or when job-search-run needs to evaluate postings. For many postings at once, job-search-run drives this skill per posting — do not batch here.

2026-07-1719

name

job-search

description

job-search

To configure, extend, customize, or troubleshoot the agent itself (or understand its capabilities), use the job-search-agent skill — the operator manual.

Not the place for a non-interactive run — that's job-search-run — or for changing the system's wiring, which is job-search-agent's manual (see the note above).

This skill has two modes and almost no logic of its own — it routes, then follows a playbook:

First run → walk the user through onboarding end-to-end, ending with real, relevance-judged matches.
Returning → show the job-search home (latest digest, new matches, pipeline) with conversational quick actions.

Find the workspace with the Discovery procedure in ../../shared/references/internals.md (one fact-gathering command, then its precedence rules); never hard-code its path.

Step 0 — route

Run the Discovery procedure (../../shared/references/internals.md) → a workspace, first_run yes/no, and a source (registry | default | legacy | none).

first_run: true → say the welcome, then follow references/onboarding.md (the first-run playbook). Greet the moment discovery reports first_run: true — emit the welcome as a message now, before your next tool call: before you open the playbook, before any check, long before the end of the turn. The pull to defer it is strong — finish the silent prep, batch the talking into one final message. Resist it: that batching is this skill's known failure mode, and whatever goes wrong next (a failed check, a blocked install) must land on a user who has already been greeted and told what's happening. About to run a tool without having greeted? Stop — greet first. The welcome — hit these beats in your own words (a warm one-liner: you'll set up their search together and end on real matches found live), e.g.:

"Let's set up your job search. I'll check a couple of prerequisites, make you a private workspace, learn what you're looking for, save your first search, and then actually pull live postings and show you the matches."

Onboarding owns the workspace and tells the delegated skills where to write.
first_run: false → follow references/home.md (the returning-user home). Gather its state silently; the home view itself is your first words.

Principles (apply in both modes)

Conversational-first configuration. The user changes anything — a query, how often it runs, their preferences, the schedule — by chatting with you. You apply it by reading <workspace>/config.yaml, editing it minimally (preserving comments and structure), and writing it back, following the recipes in ../../shared/references/internals.md. Hand-editing files is an escape hatch you mention only if asked — never a step you require.
Relevance is qualitative. Say relevant or not, and if relevant weak / moderate / strong, always with plain-language reasoning; a preference's importance lives in which bucket it sits in, not in math. A fit score, a 0-to-100 scale, per-criterion points, or a category weight never lands in a digest, the brief, or the job log — the one exception is a number a user explicitly asks for in chat, which you may give in that reply but never save to an artifact.
Frequency, in human terms. You tune the system by how often to pull — hourly, daily, weekly.
Every blocked path is a named error. If something can't proceed (no CLI, no auth, no config, no brief, quota, service down…), name the exact E-* from ../../shared/references/errors.md with its cause + fix wording and stop there. No silent failures, ever.
Never clobber real user data. When adopting an existing workspace, only additively create what's missing — never overwrite a config.yaml, preferences.md, or jobs.jsonl. See the never-clobber rule in ../../shared/references/internals.md.
Route feedback to the right scope. When the user reacts — to a match, the digest, or what they want overall — apply it immediately at the correct scope and confirm in one line: a clear general preference edits the brief and, if a run is in flight, records a brief revision on it; a posting-specific reaction touches only pipeline state unless the user generalizes it; ambiguous feedback earns one clarification only when the reading changes the result; a retrieval change previews its agent-data impact first. The single routing table is references/home.md → Applying your feedback — follow it in both modes (it points one hop at the run-lifecycle.md revision/settling and internals.md usage contracts).