agentsclimarketplace

Research

Skill arndvs/ctrlshft/skills/research

Cache expensive exploration into a research document before building. Use when asked to 'research', 'investigate before building', 'gather context', 'flush unknowns', or before a large feature where unknowns need flushing.From its SKILL.md

Install
npx -y skills add arndvs/ctrlshft --skill research

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

3.3 KB, 699 tokens by cl100k_base, as published. Nobody here has run it

Research

If running interactively (human present), output "Read Research skill." to acknowledge. If running with --dangerously-skip-permissions (AFK/unattended), skip acknowledgement and proceed directly.

Cache expensive exploration into a persistent working/research/<topic>.md so implementation conversations can start with full context instead of re-exploring.

When to Use

  • Before a large feature where architecture, dependencies, or API choices are unclear
  • When multiple conversations will work on the same area
  • When exploration would consume >20% of context and you still need room to implement
  • When the user says "research this first" or "investigate before building"

Process

1. Check for Existing Research

If working/research/<topic>.md already exists:

  • Read it fully
  • Check the Generated date in the header
  • If <7 days old and topic matches: use it as-is, skip to handoff
  • If >7 days old or topic doesn't match: re-validate by spot-checking 2-3 key claims, then update or regenerate

2. Decompose

Break the research topic into 3-6 distinct areas of concern. Each area should be explorable independently.

3. Parallel Exploration

Spawn a dedicated sub-agent for each area using the explore verb (per the explore skill). Each sub-agent should have a narrow, specific focus.

4. Synthesize

Combine all sub-agent findings into working/research/<topic>.md with this structure:

# Research: [Topic]

Generated: [date]
Topic: [one-line summary]

## Summary

[2-3 paragraph executive summary of findings]

## Architecture

[Relevant code paths, data flow, existing patterns]

## Constraints

[Technical limitations, API quirks, performance bounds, compatibility issues]

## Dependencies

[External services, libraries, APIs involved and their current state]

## Open Questions

[Unresolved decisions that need human input]

## Recommendations

[Concrete next steps based on findings]

5. Handoff

After research is complete, offer the user three paths:

  1. /write-a-prd — capture findings as a formal PRD
  2. /do-work — start implementing with working/research/<topic>.md as context
  3. Continue exploring — spawn additional sub-agents for open questions

Lifecycle Management

  • Research lives in working/research/<topic>.md — one file per topic
  • When passing to a new conversation, always include the research file in @-references
  • If a working/active/<topic>.md plan exists, the pickup command should include both: @working/research/<topic>.md @working/active/<topic>.md — pick up on remaining slices. Start with Slice [N].
  • If the research file is >7 days old, re-validate before relying on it
  • If the codebase has changed significantly (major refactor, new dependencies), regenerate
  • Delete research files after the feature ships — they're working documents, not permanent docs
  • If the synthesis has lasting value beyond the immediate task, promote it to docs/research/<topic>.md before deleting the working copy
  • See docs/ARTIFACT-LIFECYCLE.md for the full lifecycle

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 326,696. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.