linkedin — плагин для Claude Code: что делает и как установить
Плагин помогает выстроить органичное присутствие в LinkedIn: профиль, стратегию, публикации, комментарии и аналитику. Все действия остаются у пользователя.
/plugin marketplace add alirezarezvani/claude-skills
/plugin install linkedin@claude-code-skillsЧто делает linkedin
Плагин сначала проверяет запрос по правилам LinkedIn, а затем направляет его в нужный раздел: профиль, стратегию, контент, взаимодействие или аналитику. Он умеет оценивать заголовок и профиль, собирать позиционирование, планировать ритм публикаций, проверять посты и делить длинные материалы на самостоятельные записи.
Внутри есть 6 скиллов, 2 субагента, 8 слэш-команд, 17 инструментов на стандартной библиотеке Python и 15 справочных материалов. Аналитика работает с собственным экспортом LinkedIn, использует медианы и перестановочные тесты, а при количестве постов ниже 10 отказывается делать выводы. Линтер блокирует engagement bait и Unicode-псевдожирный текст, который плохо читают скринридеры.
Плагин не хранит учётные данные LinkedIn, не вызывает API, не скрейпит сайт и ничего не отправляет автоматически. Поэтому публикации, комментарии и сообщения нужно выполнять вручную.
Какие задачи решает
- проверить профиль и заголовок LinkedIn
- собрать позиционирование с доказательствами
- спланировать допустимый ритм публикаций
- проверить пост на правила и доступность
- проанализировать собственный экспорт LinkedIn
Примеры запросов агенту
- Проверь мой запрос через
/cs-linkedinи выбери подходящий раздел. - Оцени профиль и заголовок через
/cs-linkedin-profile, затем предложи исправления. - Проверь этот текст поста через
/cs-linkedin-postи укажи блокирующие проблемы.
Как установить linkedin
Через маркетплейс плагинов
/plugin marketplace add alirezarezvani/claude-skills/plugin install linkedin@claude-code-skillsПо шагам, с командами для каждой платформы: Плагины Claude Code: маркетплейсы, установка и как собрать свой
Вопросы о linkedin
Как установить linkedin в Claude Code?
Добавьте маркетплейс командой /plugin marketplace add alirezarezvani/claude-skills, затем установите плагин: /plugin install linkedin@claude-code-skills.
Что делает плагин linkedin?
Он помогает работать с профилем, стратегией, публикациями, комментариями и аналитикой LinkedIn. Перед обработкой запрос проходит проверку правил платформы.
Нужны ли учётные данные LinkedIn или API-ключ?
Нет. Плагин не хранит учётные данные, не вызывает API и не отправляет публикации, комментарии или сообщения автоматически.
Исходный текст
linkedin · MIT
# linkedin — organic LinkedIn presence, with the rules enforced in code A strategic assistant for building an authentic LinkedIn presence over months, not a post generator. Built in response to [discussion #934](https://github.com/alirezarezvani/claude-skills/discussions/934). **The design constraint that shapes everything else:** this plugin holds no LinkedIn credentials, makes no API calls, scrapes nothing, and sends nothing. Every output is text the account holder posts themselves. Automated posting, connecting, commenting, and liking are prohibited by LinkedIn's User Agreement §8.2, and a restricted account ends a compounding asset that took months to build. So the refusals are in code, at the front of every lane, and each one names a compliant substitute. ``` /cs-linkedin # gate + route /cs-grill-linkedin # five forcing questions before the work starts /cs-linkedin-profile # headline, About, whole-profile audit /cs-linkedin-plan # brief, pillars, cadence, newsletter /cs-linkedin-post # format, draft, lint /cs-linkedin-repurpose # article/talk -> posts, with a reuse ledger /cs-linkedin-outreach # comment roster + one message at a time /cs-linkedin-analyze # your own export, analysed honestly ``` --- ## What is here | Skill | Tools | Does | |---|---|---| | **linkedin-skills** (orchestrator, `context: fork`) | 2 | Policy gate (ALLOW / CONSTRAIN / REFUSE) then a deterministic five-lane router with cross-lane prerequisites | | **linkedin-profile** | 3 | Headline scored on five dimensions vs the 220-char cap; whole profile 0-100 with fixes ranked by points per hour; About section assembled to survive the fold | | **linkedin-strategy** | 3 | Positioning brief validator; cadence priced in minutes with a 90-minute floor; newsletter eligibility + six-month sustainability gate | | **linkedin-content** | 3 | Post linter (mechanics / hook / integrity / accessibility); format picker; repurpose splitter with a reuse ledger | | **linkedin-engagement** | 3 | Capped commenting roster; message builder that refuses templates; volume guard that refuses automation-shaped plans | | **linkedin-analytics** | 3 | Median/MAD describer; four-gate permutation pattern miner; experiment planner | Plus 2 agents, 8 commands, 15 references (7 sources each), 11 assets. ## The parts that are different **The policy gate runs before anything is drafted.** Seven refusal rules covering automation, scraping, engagement pods, bulk messaging, fake identity, fabricated proof, and named third-party automation tools — each with the User Agreement clause and a substitute that achieves the same goal legitimately. A REFUSE outranks any route. **Evidence is graded, and two popular claims are corrected.** Every quantitative claim carries 🟢 (LinkedIn-official), 🟡 (third-party study), or 🔴 (folklore, named as folklore). - The "a personalised note triples acceptance" claim is not supported by the largest samples, which show acceptance close to identical either way (~26.4%). What a note actually moves is the **post-accept reply rate** (~5.4% → ~9.4%). That changes what the note should say: it earns the conversation, not the meeting — which is why `outreach_message_builder.py` refuses an ask in a first-touch connection note. - The ~19% in-body link reach reduction has **never been confirmed by LinkedIn as a penalty** and has a plausible non-punitive explanation via dwell time. It is a warning, not a block. **The analytics refuse to over-conclude.** `pattern_miner.py` puts every candidate through four gates: a group-size floor, a 15% minimum relative effect, a seeded permutation test, and a multiple-comparisons accounting that reports how many candidates would pass on noise alone. Below 10 posts it refuses to test anything. `NOTHING_SURVIVED` is the most common honest answer and is reported as a finding, not a failure. **Accessibility is a blocking finding, not a footnote.** Unicode pseudo-bold — the output of "bold text generators" — is a blocking lint failure, because screen readers announce those characters as mathematical symbols and LinkedIn search does not index them as words. **Refusals are refusals.** A cadence under 90 minutes a week returns a comment-only plan rather than a schedule that will be abandoned in week five. A newsletter whose six-month cost exceeds the budget is refused before the promise is made. An experiment that needs more posts than a quarter allows is reported as infeasible rather than quietly re-sized. ## Quick start ```bash # See every tool run with zero configuration python3 skills/linkedin-skills/scripts/linkedin_policy_gate.py --sample --output human python3 skills/linkedin-profile/scripts/headline_scorer.py --sample-weak --output human python3 skills/linkedin-strategy/scripts/cadence_planner.py --sample --output human python3 skills/linkedin-content/scripts/post_linter.py --sample --output human python3 skills/linkedin-engagement/scripts/outreach_volume_guard.py --sample --output human python3 skills/linkedin-analytics/scripts/pattern_miner.py --sample --output human ``` Every tool supports `--help`, `--sample`, and `--output json`, uses the standard library only, and returns typed exit codes so an agent can branch on the verdict rather than parse prose. ## Distinct from - **`marketing-skill/x-twitter-growth`** — X/Twitter mechanics. Different platform, different format economics, different rules. - **`marketing-skill/social-content`, `social-media-manager`** — multi-platform brand calendars. This is one person's own presence on one platform, in depth. - **`marketing-skill/social-media-analyzer`** — cross-platform campaign reporting. This reads your own LinkedIn export and refuses to conclude below 10 posts. - **`marketing-skill/cold-email`** — different channel, different law, different caps. ## Provenance Requested in [discussion #934](https://github.com/alirezarezvani/claude-skills/discussions/934). Refusal rules derive from LinkedIn's published User Agreement §8.2, the Prohibited Software and Extensions help article, and the Professional Community Policies. No LinkedIn code, data, or proprietary material is included. See `.claude-plugin/authoring-notes.json`. --- **Version:** 1.0.0 · MIT · 6 skills · 17 stdlib tools · 15 references · nothing auto-sent
© Alireza Rezvani · MIT · alirezarezvani/claude-skills