code-deep-research
Skill1k starsChanged 17 days agoApache-2.0View on GitHub
Use when deeply researching an open-source GitHub repository for AgenticX adoption, selective mechanism internalization, gap analysis, or an evidence-backed implementation proposal.
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More talk lately.thin dataabout the whole repository
Who's talking about DemonDamon/AgenticX
The biggest 1 of 1 mention linking to the repository that our crawl found. Each line is their own headline.
In this repository21 other files it gives its agents.
- AGENTS.mdAGENTS.md
- mobile/AGENTS.mdAGENTS.md
- agenticx-fusion-digestSkill
- brainstormingSkill
- code-module-summariesSkill
- dispatching-parallel-agentsSkill
- executing-plansSkill
- finishing-a-development-branchSkill
- oss-visual-brandingSkill
- receiving-code-reviewSkill
- recording-investor-product-demoSkill
- requesting-code-reviewSkill
- subagent-driven-developmentSkill
- systematic-debuggingSkill
- test-driven-developmentSkill
- using-git-worktreesSkill
- using-superpowersSkill
- verification-before-completionSkill
- writing-plansSkill
- writing-skillsSkill
- yt-dlp-downloaderSkill
The file
We split this skill into the rules it gives an agent
10 rules. About 0 are common, 8 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈8
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 20
Do not use for:
- Distinctive: line 27
Before taking research actions:
- Distinctive: line 31
Read TEMPLATES.md before creating research artifacts.
- Distinctive: line 33
Do not infer the workflow from this summary alone.
- Very specific: line 39
Verify implementation claims against local source using SHA + path + line range + symbol.
- Very specific: line 42
Do not modify AgenticX production code during research.
- Distinctive: line 43
Do not invent benchmarks, user needs, issue numbers, runtime validation, or repository behavior.
- Distinctive: line 44
Do not create an implementation plan or code task unless the user separately requests implementation.
- Distinctive: line 54
Do not promote a Gap to force a desired verdict.
- Distinctive: line 58
Only claim completion when S0–S7 are completed or legitimately skipped, all quality gates in WORKFLOW pass, and S8 is then marked complete.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Code Deep Research
Overview
Research an upstream repository from a locked commit, compare it with verified AgenticX code, and make an evidence-backed adoption decision. The local upstream clone is the source of truth; MCP tools accelerate discovery but never replace source verification.
When to Use
Use for:
/codedeepresearchrequests.- “调研这个 GitHub 项目能否集成进 AgenticX”。
- Comparing an upstream framework, SDK, agent runtime, tool, memory, planner, UI, or protocol with AgenticX.
- Producing
ADOPT,SELECTIVE_ADOPT, orDO_NOT_ADOPTrecommendations.
Do not use for:
- Implementing an already-approved plan.
- General web research without a required GitHub repository.
- A quick API lookup or a review of one known source file.
Required References
Before taking research actions:
- Read WORKFLOW.md completely.
- Copy its S0–S8 status ledger into
research/codedeepresearch/<repo_name>/meta.md. - Read TEMPLATES.md before creating research artifacts.
Do not infer the workflow from this summary alone.
Non-Negotiable Rules
- Clone the repository into
research/codedeepresearch/<repo_name>/upstream/and lock its SHA. - A failed clone blocks normal research. Do not emit Gap, Proposal, P0/P1, or an adoption verdict.
- Verify implementation claims against local source using
SHA + path + line range + symbol. - DeepWiki, GitHub MCP, and ZRead are optional accelerators. Discover their schemas before use; failure must follow the documented fallback.
- ZRead quota failure never makes a successful local-source study “incomplete”.
- Do not modify AgenticX production code during research.
- Do not invent benchmarks, user needs, issue numbers, runtime validation, or repository behavior.
- Do not create an implementation plan or code task unless the user separately requests implementation.
Decision Rule
Determine Gap priority first, then derive the verdict:
ADOPT: at least one valid P0.SELECTIVE_ADOPT: no P0, but at least one evidence-backed P1 with a real user problem.DO_NOT_ADOPT: only P2/NO-GAP, unvalidated demand, or insufficient value.
Do not promote a Gap to force a desired verdict.
Completion Rule
Only claim completion when S0–S7 are completed or legitimately skipped, all quality gates in WORKFLOW pass, and S8 is then marked complete. Final chat output must lead with the verdict and link the written artifacts.
Common Failures
- Starting with DeepWiki instead of locking the upstream SHA.
- Treating README or MCP-generated code as implementation evidence.
- Reading only upstream code and assuming AgenticX lacks the capability.
- Turning every upstream feature into a P0.
- Forcing PoC/MVP sections when the correct verdict is
DO_NOT_ADOPT. - Leaving stale evidence from an older upstream SHA in current artifacts.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

