mcpbeat Sign in

Implement Plan Micro Skill for Claude

Implement technical plans from thoughts/shared/plans with verification

1k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
521
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/vibeeval/vibecosystem --skill implement_plan_micro

What it tells the agent to use

found in the instruction text
Task spawns other agents

The instruction itself

14 sections, as written by the author

Formal Specification

Multimodal Logic Integration

Five modal logics via fusion with bridge principles:

  • JL: Justification Logic - evidence-backed claims
  • IEL: Inferential Erotetic Logic - question handling
  • TEL: Temporal Epistemic Logic - phase sequencing
  • SDL: Standard Deontic Logic - obligations/permissions
  • DEL: Dynamic Epistemic Logic - action modalities

Justification Logic (JL)

# Justification terms
[h]:context(task_n)                    # Handoff h justifies task context
[v]:verified(phase_n)                  # Verification v justifies completion
[p]:plan(tasks)                        # Plan p justifies task list

# Evidence production
[read(f)]exists e. [e]:content(f)
[verify(c)]exists v. [v]:pass(c) | [v]:fail(c)

# Handoff chain: evidence propagates
[h_n]:complete(task_n) -> [h_{n+1}]:context(task_{n+1})
proceed(task) <-> exists h. [h]:validated

Inferential Erotetic Logic (IEL)

# Mode and blocker questions
?{direct, orchestration}               # Mode selection
?{continue, retry, ask_user}           # Blocker resolution
mismatch(plan, reality) -> ?{how_proceed}
no_validation -> ?{run_validation_first}

Temporal Epistemic Logic (TEL)

# File reading constraints
[](mentioned(f) -> <>read_fully(f))           # Eventually read
[](mentioned(f) -> not spawn U read_fully(f)) # No spawn until read
[](partial_read(f) -> false)                  # Partial reads forbidden

# Phase sequencing
[](phase(n) -> P(phase(n-1) & verified(n-1))) # Verified before next
[](automated_pass -> <>manual_verify)         # Automated gates manual
[](manual_pass(n) -> <>phase(n+1))            # Manual gates next phase

# Handoff persistence
[](handoff_created(h) -> []exists_on_disk(h)) # Survives compaction

# Termination
<>(all_complete | abandoned)

Standard Deontic Logic (SDL)

# Reading obligations
O(read_fully(plan))
O(read_fully(f)) <- mentioned_in_plan(f)
O(check_existing_checkmarks)
F(partial_read)

# Verification obligations
O(run_automated) <- impl_complete
O(pause_for_manual) <- automated_pass
O(present_manual_checklist)
F(checkoff_manual) <- not user_confirmed

# Mode selection
O(orchestration) <- tasks >= 4
P(direct) <- tasks <= 3
O(respect_user_preference)

# Orchestration obligations
O(read_previous_handoff) <- exists_handoff(task_{n-1})
O(create_handoff) <- agent_completes
O(update_ledger) <- task_complete
F(batch_tasks)                                # One agent per task
F(proceed_on_mismatch) <- not user_guidance

Dynamic Epistemic Logic (DEL)

# Implementation actions
[read(plan)]K(tasks) & K(phases) & K(criteria)
[read(handoff_n)]K(context_{n+1})
[spawn(agent, task)]<>result(agent)
[verify(c)](K(pass) | K(fail))

# Composed workflows
[select_direct][implement ; verify_auto ; present_manual ; wait]*
[select_orchestration][prepare ; spawn ; wait ; read_handoff ; update]*

# Recovery
[compaction ; read_ledger ; list_handoffs ; read_last]resume

# Mismatch
[detect_mismatch ; stop ; present ; wait]proceed_or_abort

Bridge Principles

# Evidence persistence (JL-TEL)
[h]:context(n) -> [][h]:context(n)

# Evidence obligations (JL-SDL)
O(exists h. [h]:validated) <- pre_implement
O(exists v. [v]:pass(auto)) <- pre_manual

# Handoff chain (full integration)
[h_n]:complete(n) -> O([spawn]<>[h_{n+1}]:context(n+1))
compaction -> (forall h. persists(h))

State Machine

INIT --> READ_PLAN --> MODE_SELECT --+--> DIRECT: [IMPL -> AUTO -> MANUAL -> WAIT]*
                                     |
                                     +--> ORCHESTRATION: [PREP -> SPAWN -> WAIT -> HANDOFF]*
                                                                                    |
                                                                                    v
                                                                                COMPLETE

Output Schema

handoff_path: "thoughts/handoffs/<session>/task-[NN]-[desc].md"
schema:
  required: [status, task_desc, files_modified[], verification_results, context_for_next]
  optional: [blocker, decisions[], open_questions[]]
tracking:
  plan: "- [x] Task N: description"
  ledger: "[x] Task N"

Prose (Where Logic Insufficient)

Mode Selection

| Tasks | Context Critical | Mode |

|-------|------------------|------|

| 1-3 | No | Direct |

| 1-3 | Yes | Orchestration |

| 4+ | Any | Orchestration |

User preference overrides.

Templates

Mismatch:

Issue in Phase [N]:
Expected: [plan says]
Found: [actual]
How should I proceed?

Manual Verification Pause:

Phase [N] Complete - Ready for Manual Verification
Automated passed: [list]
Please verify: [manual items from plan]
Let me know when done.

Agent Spawn:

Task(subagent_type="general-purpose", model="claude-opus-4-5-20251101", prompt="""
[implement_task SKILL.md]
## Context
- Ledger: [content]
- Plan: [section]
- Task: [N]/[Total]: [desc]
- Previous Handoff: [content or "first task"]
- Handoff Dir: thoughts/handoffs/<session>/
""")

Recovery (post-compaction):

  • Ledger auto-loaded by SessionStart
  • ls thoughts/handoffs/<session>/
  • Read last handoff
  • Resume next task

Validity Constraints

forall phase. has_auto_criteria(phase) & has_manual_criteria(phase)
forall task. one_agent_per_task(task)
forall h. on_disk(h) -> recoverable(h)
compaction -> (forall h. persists(h))
forall i < j. completed(task_i) before started(task_j)

Other skills for the same job

different authors, same section of the catalogue
Protocolsio Integration
by christophacham
×4

Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.

16k tokens
Tailored Resume Generator
by frostant
×4

Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances

3k tokens
Excalidraw Diagram Generator
by github
vendor ×3

Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.

36k tokens scripts
Expo Dev Client
by openai
vendor ×3

Build and distribute Expo development clients locally or via TestFlight

961 tokens
Executing Plans
by ZhanlinCui
×3

Use when you have a written implementation plan to execute in a separate session with review checkpoints

542 tokens
Anndata
by christophacham
×3

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

16k tokens
Benchling Integration
by christophacham
×3

Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.

14k tokens
Biopython
by christophacham
×3

Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.

24k tokens

How to use it

Copy the folder

Take vibeeval/implement_plan_micro from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.