tech-lead
Skill5 starsChanged 54 days agoMITView on GitHub
Lead implementation as a tech lead: slice the work, brief subagent implementers in isolated git worktrees, and accept the result in the primary session.
10 other projects use a version of this.
Adopted by
Most recently taken up by
- k1lgor/virtual-companytheir own version, first seen Nov 1, 2026
- sirius-cc-wu/sirius-skillstheir own version, first seen Oct 21, 2026
- Satori28/free-skillstheir own version, first seen Oct 20, 2026
- Ibrahim-3d/conductor-orchestrator-superpowerstheir own version, first seen Oct 8, 2026
- Ibrahim-3d/orchestrator-supaconductortheir own version, first seen Sep 27, 2026
- scorp-3d/agent-skillstheir own version, first seen Jun 13, 2026
Used with
Projects with it also use data-analyst.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
ClineSkilldata-analyst
Act as an interactive data analyst for ClickHouse-backed analytics. Use when the user asks questions about internal data, metrics, dashboards, telemetry, active users, revenue, funnels, trends, distributions, or wants an analyst-style conversation, ad hoc SQL, charts, or a data export against ClickHouse (local or ClickHouse Cloud).
Also in 3 projects that use this
Other versions10 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 10
- Ibrahim-3d/conductor-orchestrator-superpowers★ 381same name
- Ibrahim-3d/orchestrator-supaconductor★ 378same name
- lotosbin/claude-skills★ 14same name
- boxclawai/skills★ 9same name
- sirius-cc-wu/sirius-skills★ 6same name
- k1lgor/virtual-company★ 4same name
- Satori28/free-skills★ 2same name
- loginvijayan/ai-agent-skills★ 0same name
- scorp-3d/agent-skills★ 0same name
- thelightbringer/ab-agent-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository15 other files it gives its agents.
- AGENTS.mdAGENTS.md
- agents-mdSkill
- agents-memorySkill
- agentsview-extractSkill
- agentsview-resumeSkill
- backfill-unit-testsSkill
- dotnet-upgradeSkill
- github-epicSkill
- gitlab-epicSkill
- miseSkill
- pr-workflowSkill
- record-walkthroughSkill
- setup-agent-ready-repoSkill
- tidy-commitsSkill
- write-e2e-testsSkill
The file
Show its rules and text
We split this skill into the rules it gives an agent
13 rules. 0 are common, 12 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 7 edited versions we read keep these.
12
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 21
Check scope/durability with the user unless settled.
- Distinctive: line 27
Done: when each slice has a name, the files it may touch, a parallel/serial mark and durability answer, and earns its own implementer by …
- Distinctive: line 33
Done: when every parallel-marked slice is confirmed under a cap or serial with a reason.
- Distinctive: line 44
Done: when every slice names a live role and either an explicit model/effort or an explicit inherit.
- Very specific: line 50
Put absolute SKILL.md paths in the brief.
- Distinctive: line 54
Done: when the brief lists those paths, or lists none, and a slice with visual evidence carries an Evidence capture scenario.
- Distinctive: line 58
Prefer harness-native worktree or cwd isolation.
- Distinctive: line 62
Done: when each in-flight slice has a worktree path and a branch.
- Distinctive: line 72
Done: when each dispatched slice has a live handle, no wave exceeded the cap, and its brief split facts/assumptions and (test/audit) held …
- Distinctive: line 84
When the slice is high-risk, you invoke an installed review skill (code review, over-engineering review, security) as coordinator.
- Distinctive: line 86
Read an existing review artifact's findings and summary.
- Distinctive: line 88
Done: when every slice is accepted or parked with a recorded reason.
- Distinctive: line 94
Done: when accepted commits are on the intended branch or MR, or you recorded why not.
“Common” is measured: kept by at least 6 in 10 of the 7 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Tech Lead
You are the tech-lead. Implementers write code. You write the brief, isolate work, and accept.
Stay in primary for architecture decisions, cohesive serial edits, and single-file changes; delegate only when parallelism pays for it or when a bounded slice warrants a cheaper role or fresh context. Bounded investigation (search, facts) uses the platform's cheap named workers when those roles exist; tests, builds, and lint run in primary, which reads their output.
1. Slice
Check scope/durability with the user unless settled.
Split the work into units that can finish without each other's uncommitted files. For every pair that shares a path (in-review included), record whether the overlap is semantic (same meaning) or mechanical (lockfile regeneration).
Slice no finer than parallelism pays for. A serial slice that lands in the same review as the one it waits on merges into it, and a shared interface stays in one slice with the consumers that shape it; split apart, the brief would fix the interface before its callers could inform it. Ask how many PRs/MRs the user wants to review: that groups slices, it does not split them.
Done when each slice has a name, the files it may touch, a parallel/serial mark and durability answer, and earns its own implementer by running in parallel or needing a different role or model.
2. Confirm parallelism
Fewer than two parallel-marked slices: skip to step 3. Otherwise ask the user whether to parallelize and at what cap, then have a read-only worker scan for conflict signals first. Named: Parallel cap, Parallel-conflict signals — references/brief-elements.md.
Done when every parallel-marked slice is confirmed under a cap or serial with a reason.
3. Live capability
From this turn's system prompt and tool schemas, pick for each slice:
- the cheapest model and effort the harness exposes that can finish that slice
- an implementer role from the live list (general-purpose or equivalent)
Omitting the model parameter inherits the session model; do that only for high-judgment slices. Mechanical slices get an explicit cheaper pick.
Done when every slice names a live role and either an explicit model/effort or an explicit inherit.
4. Implementation skills
From skills this session can already see (harness skill list, or skills ls --json where present), pick 0–N whose descriptions match the slice and that teach how to implement (tests, toolchain, domain procedure). Review and audit skills wait for step 7.
Put absolute SKILL.md paths in the brief. That list is the full set the implementer reads.
A slice whose acceptance includes screenshots or a recording gets that evidence at step 7, from a scenario you write now into its acceptance. Named: Evidence capture — references/brief-elements.md.
Done when the brief lists those paths, or lists none, and a slice with visual evidence carries an Evidence capture scenario.
5. Isolate
Prefer harness-native worktree or cwd isolation. Lacking that, git worktree add beside the repo or in the harness default directory, named after the slice.
You create, collect, and remove worktrees. Each implementer receives one existing path. An overlapping slice branches off the other's, not default.
Done when each in-flight slice has a worktree path and a branch.
6. Brief and dispatch
One implementer per slice. Confirmed-parallel slices dispatch in waves of at most step 2's cap; the rest one at a time.
The brief is the slice: scope, allowed files, constraints, acceptance, skill paths from step 4, worktree and branch, and when to stop and return. The implementer may commit in its worktree.
Named: Wave dispatch, Facts vs assumptions, Defect-report shape (test/audit) — references/brief-elements.md.
Done when each dispatched slice has a live handle, no wave exceeded the cap, and its brief split facts/assumptions and (test/audit) held defect-report shape.
7. Accept
On return, record every item:
- brief constraints held
- claimed verification actually ran
- visual evidence: the Evidence capture scenario ran in a fresh context, and you judged its captures
- ship, ask the user, or resume the same implementer with findings
- a defect report: verify; ticket only with user agreement
When the slice is high-risk, you invoke an installed review skill (code review, over-engineering review, security) as coordinator.
Read an existing review artifact's findings and summary. Open the diff only if that artifact is empty or failed, the slice is high-risk, or a finding needs your ruling. Axes that review already completed stay closed.
Done when every slice is accepted or parked with a recorded reason.
8. Integrate
You push, open the MR/PR, merge, and remove the worktree, branch, and slice-only resources; rebase after merge. Confirm with the user first when the project requires it.
Done when accepted commits are on the intended branch or MR, or you recorded why not.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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- 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.

