Serenity Alpha
haskaomni/serenity-skill
Translate market-moving news into investable alpha hypotheses by mapping observed demand changes to revenue lines, supply chains, small-cap financial elasticity, market misclassification, validation…
Recover source-bound buyer jobs, struggling moments, desired progress, forces, workarounds, information acts, journey states, criteria, constraints, roles, locales, and authentic language.
Install Buyer Job Intent Analysis
$ npx skills add elvisun/newsjack --skill buyer-job-intent-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install elvisun/newsjack buyer-job-intent-analysis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/elvisun/newsjack.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/buyer-job-intent-analysis .claude/skills/buyer-job-intent-analysis && rm -rf skills-srcUse ~/.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/
Install the "buyer-job-intent-analysis" agent skill from https://github.com/elvisun/newsjack/tree/main/skills/buyer-job-intent-analysis into .claude/skills/buyer-job-intent-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "buyer-job-intent-analysis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/elvisun/newsjack/tree/main/skills/buyer-job-intent-analysisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add elvisun/newsjack --skill buyer-job-intent-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install elvisun/newsjack buyer-job-intent-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/elvisun/newsjack.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/buyer-job-intent-analysis .agents/skills/buyer-job-intent-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "buyer-job-intent-analysis" agent skill from https://github.com/elvisun/newsjack/tree/main/skills/buyer-job-intent-analysis into .agents/skills/buyer-job-intent-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "buyer-job-intent-analysis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add elvisun/newsjack --skill buyer-job-intent-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install elvisun/newsjack buyer-job-intent-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/elvisun/newsjack.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/buyer-job-intent-analysis .cursor/skills/buyer-job-intent-analysis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "buyer-job-intent-analysis" agent skill from https://github.com/elvisun/newsjack/tree/main/skills/buyer-job-intent-analysis into .cursor/skills/buyer-job-intent-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "buyer-job-intent-analysis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/elvisun/newsjack.git --path skills/buyer-job-intent-analysis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add elvisun/newsjack --skill buyer-job-intent-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install elvisun/newsjack buyer-job-intent-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/elvisun/newsjack.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/buyer-job-intent-analysis .gemini/skills/buyer-job-intent-analysis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "buyer-job-intent-analysis" agent skill from https://github.com/elvisun/newsjack/tree/main/skills/buyer-job-intent-analysis into .gemini/skills/buyer-job-intent-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "buyer-job-intent-analysis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install elvisun/newsjack buyer-job-intent-analysisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add elvisun/newsjack --skill buyer-job-intent-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/elvisun/newsjack.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/buyer-job-intent-analysis .github/skills/buyer-job-intent-analysis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "buyer-job-intent-analysis" agent skill from https://github.com/elvisun/newsjack/tree/main/skills/buyer-job-intent-analysis into .github/skills/buyer-job-intent-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "buyer-job-intent-analysis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add elvisun/newsjack --skill buyer-job-intent-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install elvisun/newsjack buyer-job-intent-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/elvisun/newsjack.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/buyer-job-intent-analysis .opencode/skills/buyer-job-intent-analysis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "buyer-job-intent-analysis" agent skill from https://github.com/elvisun/newsjack/tree/main/skills/buyer-job-intent-analysis into .opencode/skills/buyer-job-intent-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "buyer-job-intent-analysis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
buyer-job-intent-analysis- GitHub stars
- 1.5k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 485 words
- Files
- 1
- Skills in repo
- 30
- Repo updated
- First seen
- Licence
- MIT
At a glance
Recover source-bound buyer jobs, struggling moments, desired progress, forces, workarounds, information acts, journey states, criteria, constraints, roles, locales, and authentic language.
- Works in 8 steps: lawfully collected relevant AI… → customer or prospect interviews and calls; → on-site search, support, chat, sales,… → …
- Tasks that involve Vendor and procurement management
- SKILL.md covers Inputs, Grade evidence, Extract jobs and language and Build jobs, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Buyer Job Intent Analysis is an agent skill from elvisun/newsjack. Recover source-bound buyer jobs, struggling moments, desired progress, forces, workarounds, information acts, journey states, criteria, constraints, roles, locales, and authentic language. Use on approved ICP hypotheses plus customer, search, review, forum, procurement, support, or public-market evidence before designing an AI-visibility prompt architecture.
Its SKILL.md is about 1.4k 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 Business, Finance & HR, covering Vendor and procurement management and AI search optimization. The repository describes itself as: The open-source skills that turn your agent into a full PR team. The licence is MIT.
When your agent uses it
- Tasks that involve Vendor and procurement management
- Tasks that involve AI search optimization
Example prompts
- “/buyer-job-intent-analysis”
Workflow steps
8 steps, taken from the first numbered list in SKILL.md.
- lawfully collected relevant AI conversations with collection metadata;
- customer or prospect interviews and calls;
- on-site search, support, chat, sales, and win/loss evidence;
- paid-search, Search Console, marketplace, and site-search queries;
- public reviews, forums, communities, RFPs, procurement guides, and competitor reviews;
- broad search and People Also Ask proxies;
- company copy;
- LLM expansion.
What it can do on your machine
Read from SKILL.md and the folder at commit 3b7fb82. 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 json).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Buyer Job Intent Analysis loads about 1.4k tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 485 words of instructions outside code blocks.
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 elvisun/newsjack at commit 3b7fb82, republished under its MIT licence (© elvisun). 485 words, ~1,414 tokens.
Download SKILL.mdSave it as
.claude/skills/buyer-job-intent-analysis/SKILL.md (or your agent's skills folder).- name
- buyer-job-intent-analysis
- description
- Recover source-bound buyer jobs, struggling moments, desired progress, forces, workarounds, information acts, journey states, criteria, constraints, roles, locales, and authentic language. Use on approved ICP hypotheses plus customer, search, review, forum, procurement, support, or public-market evidence before designing an AI-visibility prompt architecture.
- metadata.category
- AI visibility
Buyer Job Intent Analysis
Recover what people are trying to accomplish and how they express it. Do not turn product features into imagined demand.
This skill inherits the ethical floor from skills/ETHICS.md. It enforces anti-hallucination, permission, provenance, and decay-aware handling of current market evidence. Anti-spray and human-send are not applicable.
Inputs
Require:
- approved
icp_hypotheses.json; source_manifest.jsonwith permission and provenance;- any user-supplied transcripts, queries, reviews, support material, or market sources.
Research missing public-market language when permitted. Prefer evidence in this order:
- lawfully collected relevant AI conversations with collection metadata;
- customer or prospect interviews and calls;
- on-site search, support, chat, sales, and win/loss evidence;
- paid-search, Search Console, marketplace, and site-search queries;
- public reviews, forums, communities, RFPs, procurement guides, and competitor reviews;
- broad search and People Also Ask proxies;
- company copy;
- LLM expansion.
Public conversational corpora may inform style, turn count, and multilingual naturalness. They must not supply category prevalence or copied prompts.
Grade evidence
| Grade | Meaning | Eligible use |
|---|---|---|
A | Direct relevant behavior or verbatim customer/prospect language with provenance | Wording and exposure-weight inputs |
B | Credible public-market behavior or search proxy with provenance | Wording with an explicit proxy label |
C | Company assertion or expert hypothesis | Research hypothesis; approval required |
D | LLM-generated expansion without independent support | Rotating discovery only |
A count is a count within the supplied corpus. Never relabel it market frequency.
Show full SKILL.md (259 more words)Show less
Extract jobs and language
For each supported ICP, extract:
- struggling moment or trigger;
- desired progress or outcome;
- current workaround;
- push, pull, anxiety, and habit forces;
- requested action or information need;
- decision criteria, constraints, and proof sought;
- exploration/evaluation state;
- authentic source-language samples;
- role/persona and locale when known;
- contradictory, negative, or post-purchase evidence.
Keep these axes independent:
buyer_job;information_act:explain,diagnose,plan,generate,compare,recommend,verify,navigate,buy,implement,troubleshoot;journey_state:problem_identification,exploration,requirements_building,supplier_selection,adoption,post_purchase;- optional
funnel:TOFU,MOFU,BOFU, ornull.
Do not infer funnel from a keyword. A direct-brand support question can be post-purchase; an urgent problem can be close to transaction.
Split a source that asks two materially different things into two candidate jobs or flag it for review. Do not collapse user, champion, buyer, approver, blocker, and post-purchase user.
Build jobs
A job statement should identify the situation, progress, constraints, and affected actor without naming the target product:
When [situation], help [actor] make [progress] while [material constraints].
Link every component to source IDs. If the model adds a plausible force, criterion, or act, mark it grade D, confidence low, and hypothesis_only.
Output
Give the human a readable Markdown report first:
- strongest jobs by ICP;
- evidence and exact language worth preserving;
- conflicts, negative cases, and post-purchase jobs;
- missing roles/locales/acts;
- Gate 2 decision:
ready_for_human_review,needs_research, orstop_permission_failure.
Then write buyer_jobs.json:
{
"schema_version": "1.0.0",
"artifact_id": "jobs-<stable-slug>",
"created_at": "RFC3339",
"created_by": "declared agent or human",
"source_manifest_hash": null,
"warnings": ["hash_not_computed: compute source_manifest_hash before freeze"],
"gate_status": "ready_for_human_review",
"jobs": [
{
"job_id": "stable-id",
"icp_ids": ["icp-001"],
"statement": "When ..., help ...",
"struggling_moment": "Evidence-bound trigger",
"desired_progress": "Evidence-bound outcome",
"workarounds": [],
"forces": {"push": [], "pull": [], "anxiety": [], "habit": []},
"information_acts": ["diagnose", "compare"],
"journey_states": ["problem_identification", "requirements_building"],
"criteria": [],
"constraints": [],
"roles": [],
"language_samples": [
{
"text": "Short source language",
"source_id": "source-001",
"span": "locatable span",
"locale": "en-CA",
"evidence_grade": "A"
}
],
"supporting_source_ids": ["source-001"],
"counterevidence_source_ids": [],
"evidence_grade": "A",
"confidence": "high",
"status": "supported | hypothesis_only"
}
]
}Handoff
After human Gate 2, pass only approved jobs, source-language fragments, roles, locales, constraints, grades, and evidence IDs into the blind-design step. Do not pass target names, slogans, desired target pages, current AI answers, or visibility scores.
© elvisun, 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/buyer-job-intent-analysis of elvisun/newsjack.
Open the folder on GitHubat commit 3b7fb82
Compare with similar skills
Buyer Job Intent Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Buyer Job Intent Analysis this skillelvisun/newsjack | 1.5k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Serenity Alphahaskaomni/serenity-skill | 633 | — | ~2.6k | Automated safety check: Pass | MIT | |
| Scorecard Matrixpnp/sharepoint-skills | 133 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Oma Imagefirst-fluke/oh-my-agent | 1.3k | — | ~2k | Automated safety check: Pass | MIT | |
| Master Builderibuilder/massing | 122 | — | ~2.6k | Automated safety check: Pass | MIT | |
| Energy Procurementaffaan-m/ECC | 277k | 4 repos | ~7.4k | Automated safety check: Pass | Apache-2.0 |
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Categories
Questions about Buyer Job Intent Analysis
What does Buyer Job Intent Analysis do?
Recover source-bound buyer jobs, struggling moments, desired progress, forces, workarounds, information acts, journey states, criteria, constraints, roles, locales, and authentic language. Buyer Job Intent Analysis is an agent skill from elvisun/newsjack. Recover source-bound buyer jobs, struggling moments, desired progress, forces, workarounds, information acts, journey states, criteria, constraints, roles, locales, and authentic language.
When should I use Buyer Job Intent Analysis?
Buyer Job Intent Analysis fits situations like: tasks that involve Vendor and procurement management; tasks that involve AI search optimization.
How do I install Buyer Job Intent Analysis in Claude Code?
Run `npx skills add elvisun/newsjack --skill buyer-job-intent-analysis -a claude-code`. Or copy the skill folder (skills/buyer-job-intent-analysis in elvisun/newsjack) into .claude/skills/buyer-job-intent-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Buyer Job Intent Analysis in Codex?
Run `npx skills add elvisun/newsjack --skill buyer-job-intent-analysis -a codex`. Or copy the skill folder (skills/buyer-job-intent-analysis in elvisun/newsjack) into .agents/skills/buyer-job-intent-analysis in your project. Codex loads it when a task matches its description.
Can I use Buyer Job Intent Analysis 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 elvisun/newsjack --skill buyer-job-intent-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/buyer-job-intent-analysis, .gemini/skills/buyer-job-intent-analysis, .github/skills/buyer-job-intent-analysis and .opencode/skills/buyer-job-intent-analysis in your project.
What does Buyer Job Intent Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Buyer Job Intent Analysis is instructions for the agent only.
Does Buyer Job Intent Analysis access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Buyer Job Intent Analysis 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 Buyer Job Intent Analysis use?
Buyer Job Intent Analysis 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 Buyer Job Intent Analysis use?
About 1.4k tokens (SKILL.md is roughly 5.7k 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 Buyer Job Intent Analysis?
Skills that share tags, products or a category with Buyer Job Intent Analysis: Serenity Alpha (haskaomni/serenity-skill, 633 stars), Scorecard Matrix (pnp/sharepoint-skills, 133 stars), Oma Image (first-fluke/oh-my-agent, 1.3k stars) and Master Builder (ibuilder/massing, 122 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Buyer Job Intent Analysis?
elvisun (a GitHub user) maintains it in elvisun/newsjack, which has 1,541 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on October 11, 2026.
Source: elvisun/newsjack on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.