robertbarclayy/conducty/conducty-plan
Claude Code and agent skill by robertbarclayy/conducty
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Batch planning of AI prompts. Loads vault context (latest plan, latest improvement, project context, failure patterns, metrics), sets appetite, generates time-budgeted prompts with tracer markers and calibrated review levels. Use when the user says "plan", "plan this work", "batch plan", "create a plan", or wants to organize prompts. Multiple plans per day are expected — each plan is timestamped.
Install
npx vskill@latest install robertbarclayy/conducty/conducty-planSKILL.md
Conducty Plan — Batch Planning
Generate a structured plan of time-budgeted prompts organized into parallel groups with tracer markers, calibrated review levels, and prompt quality checks.
A plan is a unit of work, not a calendar boundary. Run a fresh plan whenever you start a new orchestration cycle — multiple plans per day are normal. Each plan note is named Plans/Plan YYYY-MM-DD HHmm [Topic].md and lives in the Obsidian vault.
[!important] Read [[conducty-obsidian]] firstVault location, naming, frontmatter, indexes, and link conventions are defined there. Every read/write below assumes those conventions.
Workflow
Step 1: Load the Past From the Vault
Read these from the vault (resolve $CONDUCTY_VAULT, default ~/Obsidian/Conducty/):
- Latest plan:
Glob Plans/Plan *.md, sort bydatethentimefrontmatter, pick the newest. Inspect: - Carry-forward items (status: needs-fix, partial, blocked)
- Hill chart positions
- End-of-plan summary
- Latest improvement:
Glob Improvements/Improvement *.md, pick newest — what experiments to apply now - `[[Failure Patterns]]` — recurring patterns to avoid
- `[[Metrics]]` — last 7-14 rows for trend data (pass rate, retries, appetite accuracy)
If the vault is empty, note it's a fresh start and proceed.
Step 2: Load Context
Read all context hub notes in the vault (use Glob Context/**/Context *.md). Each is a project summary from [[conducty-context]] with bounded contexts, recent changes, characterization data.
If no context notes exist, ask which projects the user is working on and offer to run [[conducty-context]].
Step 3: Gather Goals and Set Appetite
Ask the user what they want to accomplish, then ask for the plan's appetite:
"What are your goals for this plan? And how much time should it consume — an hour? Half a day? Full day?"
The appetite constrains the total plan. If goals exceed appetite, cut scope — don't overcommit. This is the most important planning decision.
Accept freeform input. Reference carried-forward items from the prior plan.
Step 4: Shape Gate — Design Non-Trivial Goals
For each goal, estimate complexity:
- Low: Clear requirements, 1-2 files, obvious implementation
- Medium: Some design decisions, 3-5 files, acceptance criteria need defining
- High: Multiple subsystems, architectural decisions, unclear requirements
Medium and High goals: Invoke [[conducty-shape]] before writing prompts. The shaping skill produces a Design YYYY-MM-DD HHmm {Topic}.md note in the vault with appetite, acceptance criteria, no-go zones, and component breakdown.
Low goals: Proceed directly to Step 5.
The user can skip shaping for a specific goal — note it as (design skipped by user).
Step 5: Generate the Plan
Resolve current date and time. Pick a topic suffix if more than one plan is expected today (recommended for clarity even when only one plan runs).
Create Plans/Plan YYYY-MM-DD HHmm [Topic].md in the vault. Use the [[plan-template]] (despite the name, the template is per-plan, not per-day).
Frontmatter must include:
Then prepend a wikilink to [[Plans Index]].
5a: Map File Structure Per Goal
Before writing prompts, map which files will be created or modified:
- Design units with clear boundaries and one responsibility per file
- Follow established patterns in existing codebases (use Glob/Grep to verify)
- Identify characterization needs for files that will be modified
5b: Decompose Into Prompts
For each goal, select and fill a prompt template from prompt-templates/:
- [[feature]] — new feature with acceptance criteria and TDD
- [[bugfix]] — bug fix with reproduction, root cause hypothesis, regression test
- [[refactor]] — restructuring with characterization-first approach
- [[test]] — writing or improving test coverage
- [[decision]] — architectural decision using [[conducty-dialectic]]
- [[security]] — auth, input validation, secrets, hardening (full-review always)
- [[migration]] — schema/version/data migration with expand-contract steps
- [[performance]] — latency/throughput/memory work, measurement-driven
For each prompt:
- Write the full prompt text using the template — be specific with file paths, code, and behavior
- Assign a project and directory
- Scope the context — only files and directories this prompt needs
- Set a time budget — derived from the goal's appetite, divided across its prompts
- Add a verification step — a single command with expected output
- Estimate complexity (Low / Medium / High)
- Assign a review level based on complexity (see below)
- Note dependencies — does this prompt depend on another finishing first?
- Reference the design note wikilink if one was created in Step 4
- Include no-go zones from the design to prevent scope creep
5c: Assign Review Levels (Calibrated Rigor)
Not every prompt needs the same review overhead:
| Complexity | Review Level | What Happens | |
|---|---|---|---|
| Low | verify-only | Run verification command. If it passes, done. | |
| Medium | spec-review | Run verification + dispatch spec compliance reviewer. | |
| High | full-review | Run verification + spec compliance + code quality review. |
This is more efficient than blanket two-stage review for everything. Reserve ceremony for work that warrants it.
5d: Mark Tracers
In each parallelization group, mark the first prompt as Tracer: yes. This prompt runs alone before the rest of the group. If it fails, the plan's assumptions for that group need revision — don't blindly execute the remaining prompts.
Choose the tracer wisely: pick the prompt most likely to expose bad assumptions (touches the most shared code, tests the most uncertain part of the design, or integrates with the least-understood system).
5e: Prompt Quality Gate
Before finalizing, check each prompt for prompt smells (signs it will fail):
| Smell | Symptom | Fix | |
|---|---|---|---|
| Vague acceptance | "Make it work" / "Improve performance" | Add concrete criteria with numbers | |
| Missing context | References files not listed in Context field | Add the missing file paths | |
| Mixed concerns | One prompt does two unrelated things | Split into two prompts | |
| No verification | No command to prove success | Add a test command with expected output | |
| Unbounded scope | No no-go zones, open-ended "and anything else" | Add explicit boundaries | |
| Exceeds appetite | Time budget > what's reasonable for complexity | Simplify or split | |
| Missing characterization | Modifies existing code without verifying current behavior | Add characterization step |
Any prompt with a smell gets fixed before the plan is finalized. A smelly prompt is a wasted execution slot.
Step 6: Group for Parallelization
Organize prompts into groups:
- Group A: Independent prompts that can all run in parallel
- Group B: Prompts that depend on Group A completing
- Group C: And so on
Within each group, all prompts are independent. The first prompt in each group is the tracer.
Step 7: Hill Chart Positions
For each goal, mark its starting hill position:
- Uphill (figuring it out) — goal still has open design questions or uncertainty
- Peak — design is solid, execution is the remaining work
- Downhill (making it happen) — clear path, just needs implementation
Goals that are uphill after shaping may need more design work. Goals that are downhill should execute smoothly — if they don't, the design missed something.
Step 8: Wire Wikilinks
In the plan note's ## Related section, link:
[[Plans Index]]- The design notes consumed (e.g.
[[Design 2026-04-27 0930 Auth Cleanup]]) - The context notes loaded (e.g.
[[Context My App]]) - The improvement note whose experiments are being tested (e.g.
[[Improvement 2026-04-26 1830]]) - Any prior plan whose work carries forward
- Accumulating notes this plan will append to:
[[Failure Patterns]],[[Metrics]],[[Prompt Log]]
Then prepend the new plan's wikilink to `[[Plans Index]]` (Edit, not Write).
Step 9: Present and Refine
Show the user the generated plan. Ask:
- "Does this fit your appetite?"
- "Should I adjust any priorities, groupings, or review levels?"
- "Any prompts to add, remove, or split?"
Iterate until satisfied, then write the final version to the vault.
Step 10: Execution Handoff
After the plan is finalized:
- [[conducty-execute]] (recommended): Automated subagent execution with tracer-first approach and calibrated review
- Manual execution: User copies prompts into separate Claude Code sessions
- Hybrid: Use [[conducty-execute]] for Low/Medium, manual for High
Guidelines
- Appetite constrains everything — if goals exceed the budget, cut scope, don't overcommit
- Each prompt is self-contained — enough context to execute without follow-up questions
- Smaller prompts > fewer large ones — smaller prompts have higher first-attempt success rates
- Scope context per prompt — only what it needs, not the entire project
- Every prompt has verification — no exceptions
- Tracers validate the plan — if a tracer fails, it's a plan problem
- Review level matches risk — don't waste ceremony on low-risk work
- No-go zones in every prompt — prevent the most common failure mode (agent scope creep)
- Learn from the vault — prior failure patterns and improvement experiments visibly shape this plan's prompts
- Prompt smells get fixed before execution — a smelly prompt is a wasted slot
- Index discipline — every new plan is prepended to
[[Plans Index]]in the same action that creates it
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/conducty-plan/SKILL.md
Popularity
- Repository stars
- 213
- Repository forks
- 17
- 7-day trend score
- 27
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 14 May 2026, 5 months ago.
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