Agent skill

Research Campaign

by Sidiora-Labs in Sidiora-Labs/centra-gideon-agent

Run a multi-cycle research campaign — grill the question, decompose it into answerable sub-questions, investigate each against sources, then synthesize with confidence and gaps stated.

Apache-2.0Auto-check passed

Install Research Campaign

skills CLI
$ npx skills add Sidiora-Labs/centra-gideon-agent --skill research-campaign -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Sidiora-Labs/centra-gideon-agent research-campaign --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Sidiora-Labs/centra-gideon-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/runtime/gideon/extensions/skills/bundled/research-campaign .claude/skills/research-campaign && rm -rf skills-src

Use ~/.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/

Facts

Skill name
research-campaign
GitHub stars
217
Token cost
~1.3k tokens
SKILL.md length
678 words
Files
1
Skills in repo
24
Repo updated
First seen
Licence
Apache-2.0

At a glance

Run a multi-cycle research campaign — grill the question, decompose it into answerable sub-questions, investigate each against sources, then synthesize with confidence and gaps stated.

  • Works in 4 steps: Grill the question → Decompose → Investigate → …
  • Open questions that need real investigation rather than one lookup
  • SKILL.md covers Phase 1 — Grill the question, Phase 2 — Decompose, Phase 3 — Investigate and Phase 4 — Synthesize, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Research Campaign is an agent skill from Sidiora-Labs/centra-gideon-agent. Run a multi-cycle research campaign — grill the question, decompose it into answerable sub-questions, investigate each against sources, then synthesize with confidence and gaps stated. Use for open questions that need real investigation rather than one lookup.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: The companion AI agent that learns, adapts and gets the work done no matter the task. The licence is Apache-2.0.

When your agent uses it

  • Open questions that need real investigation rather than one lookup

Example prompts

  • “/research-campaign”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Grill the question
  2. Decompose
  3. Investigate
  4. Synthesize

What it can do on your machine

Read from SKILL.md and the folder at commit ca531ee. 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.

    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

Research Campaign loads about 1.3k tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 678 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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 Sidiora-Labs/centra-gideon-agent at commit ca531ee, republished under its Apache-2.0 licence (© Sidiora-Labs). 678 words, ~1,256 tokens.

Download SKILL.mdSave it as .claude/skills/research-campaign/SKILL.md (or your agent's skills folder).
name
research-campaign
description
Run a multi-cycle research campaign — grill the question, decompose it into answerable sub-questions, investigate each against sources, then synthesize with confidence and gaps stated. Use for open questions that need real investigation rather than one lookup.
always
false
triggers
research campaign, do research on, deep dive into, investigate thoroughly, literature review, survey the landscape, decompose the question, multi cycle…

Research campaign

One search answers a lookup. An open question needs a campaign: grill, decompose, investigate, synthesize. The discipline is that each phase has an exit condition, so you stop when the question is answered rather than when you get tired of searching.

Phase 1 — Grill the question

Never start from the question as asked. Interrogate it first:

  • What decision does this serve? The answer's required precision comes from the decision, not from the topic. "Which database" for a prototype and for a five-year platform bet are different questions.
  • What would change your mind? Name it now. A campaign with no falsifier produces a conclusion that was decided before it started.
  • What is already known? Restate the current belief explicitly, so the campaign can confirm or overturn something specific.
  • What is out of scope? Write it down. Scope creep is what turns a campaign into a browsing session.

Exit condition: you can state the question in one sentence, plus the evidence that would falsify your current belief.

Phase 2 — Decompose

Break the question into sub-questions that are each independently answerable. A good sub-question has a knowable answer and a source type that would hold it. If you cannot name where the answer would live, the sub-question is still too abstract.

Mark each one: load-bearing (the conclusion changes if this changes) or supporting. Investigate load-bearing ones first, and be willing to stop early — if the first load-bearing answer settles the question, the rest is decoration.

Exit condition: a list of sub-questions, each with a source type and a load-bearing flag.

Phase 3 — Investigate

One sub-question at a time. For each:

  • Prefer primary sources. A summary of a benchmark is not a benchmark.
  • Record the answer, the source, and your confidence — and record contradictions as contradictions. Two sources disagreeing is a finding, not a problem to resolve by picking the more convenient one.
  • Note what you looked for and did not find. An absent answer is evidence.

Run more cycles only while they change something. When a cycle adds sources but no new answers, the campaign is saturated.

Exit condition: every load-bearing sub-question answered or explicitly marked unanswerable.

Phase 4 — Synthesize

  • Lead with the answer to the original question.
  • Attach confidence to each claim, and derive it from the evidence you actually gathered — not from how much searching you did.
  • State the gaps. An unstated gap becomes a claim you did not make.
  • Revisit the Phase 1 falsifier: did you find it? If you never looked for it, the campaign is incomplete regardless of how much you found.
Show full SKILL.md (252 more words)Show less

Worked example

Question as asked: "Should we switch our queue to Kafka?"

Grilled: the decision is whether to spend a quarter on a migration. Current belief: the existing queue is the cause of our backlog incidents. Falsifier: if the incidents trace to consumer throughput rather than the broker, the migration addresses nothing. Out of scope: cost modelling, team training.

Decomposed:

Sub-questionSource typeLoad-bearing
What caused each of the last 6 backlog incidents?Our own incident recordsYes
Does the current broker have a throughput ceiling we are near?Our metrics + broker docsYes
What would the migration cost in engineer-weeks?Comparable migrations, our codeNo

Investigated: the first sub-question showed 5 of 6 incidents were consumer-side (slow handlers, no backpressure); one was a broker restart. The second showed throughput at 12% of the documented ceiling.

Synthesized: "No — and the campaign stopped after two sub-questions because the first load-bearing answer settled it. 5 of 6 backlog incidents were consumer-side, and the broker runs at 12% of its ceiling; a broker swap would not have prevented any of them. The falsifier from Phase 1 was found, and it points at consumer backpressure. Confidence: high on incident attribution (primary records), medium on the ceiling figure (vendor documentation, not measured here). Gap: I did not cost the migration, because the answer no longer depends on it."

Note what the campaign did not do: it did not investigate the third sub-question, and it says so. Finishing a list is not the goal; answering the question is.

© Sidiora-Labs, Apache-2.0. 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 runtime/gideon/extensions/skills/bundled/research-campaign of Sidiora-Labs/centra-gideon-agent.

Open the folder on GitHubat commit ca531ee

Compare with similar skills

Research Campaign 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.

Research Campaign compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Research Campaign this skillSidiora-Labs/centra-gideon-agent217—~1.3kAutomated safety check: PassApache-2.0
Grillasgeirtj/system_prompts_leaks69k—~1.7kAutomated safety check: PassMIT
Grill Menrwl/nx29k—~1.2kAutomated safety check: PassMIT
Marketing Campaignaffaan-m/ECC277k1 repos~1.3kAutomated safety check: PassMIT
Grillingvinvcn/mattpocock-skills-zh-CN4.7k—~226Automated safety check: PassMIT
Campaign Analyticsalirezarezvani/claude-skills28k1 repos~2.1kAutomated safety check: PassMIT

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Questions about Research Campaign

What does Research Campaign do?

Run a multi-cycle research campaign — grill the question, decompose it into answerable sub-questions, investigate each against sources, then synthesize with confidence and gaps stated. Research Campaign is an agent skill from Sidiora-Labs/centra-gideon-agent. Run a multi-cycle research campaign — grill the question, decompose it into answerable sub-questions, investigate each against sources, then synthesize with confidence and gaps stated.

When should I use Research Campaign?

Research Campaign fits situations like: open questions that need real investigation rather than one lookup.

How do I install Research Campaign in Claude Code?

Run `npx skills add Sidiora-Labs/centra-gideon-agent --skill research-campaign -a claude-code`. Or copy the skill folder (runtime/gideon/extensions/skills/bundled/research-campaign in Sidiora-Labs/centra-gideon-agent) into .claude/skills/research-campaign in your project. Claude Code loads it when a task matches its description.

How do I install Research Campaign in Codex?

Run `npx skills add Sidiora-Labs/centra-gideon-agent --skill research-campaign -a codex`. Or copy the skill folder (runtime/gideon/extensions/skills/bundled/research-campaign in Sidiora-Labs/centra-gideon-agent) into .agents/skills/research-campaign in your project. Codex loads it when a task matches its description.

Can I use Research Campaign 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 Sidiora-Labs/centra-gideon-agent --skill research-campaign -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-campaign, .gemini/skills/research-campaign, .github/skills/research-campaign and .opencode/skills/research-campaign in your project.

What does Research Campaign need to run?

SKILL.md names no scripts, command-line tools or credentials: Research Campaign is instructions for the agent only.

Does Research Campaign 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 Research Campaign 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 Research Campaign use?

Research Campaign is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Research Campaign use?

About 1.3k tokens (SKILL.md is roughly 5k 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 Research Campaign?

Skills that share tags, products or a category with Research Campaign: Grill (asgeirtj/system_prompts_leaks, 69k stars), Grill Me (nrwl/nx, 29k stars), Marketing Campaign (affaan-m/ECC, 277k stars) and Grilling (vinvcn/mattpocock-skills-zh-CN, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Research Campaign?

Sidiora-Labs (a GitHub organization) maintains it in Sidiora-Labs/centra-gideon-agent, which has 217 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 8, 2026.

Source: Sidiora-Labs/centra-gideon-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.